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chore: Rename RagTool FileSearchTool
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo
parent
4566eebe05
commit
2d9163529a
288 changed files with 16985 additions and 2071 deletions
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@ -121,9 +121,9 @@ resources:
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tool_response_message: ToolResponseMessage
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system_message: SystemMessage
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tool_call: ToolCall
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query_result: RAGQueryResult
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query_result: FileSearchResult
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document: RAGDocument
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query_config: RAGQueryConfig
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query_config: FileSearchConfig
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response_format: ResponseFormat
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toolgroups:
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models:
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@ -153,8 +153,8 @@ resources:
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subresources:
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rag_tool:
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methods:
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insert: post /v1/tool-runtime/rag-tool/insert
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query: post /v1/tool-runtime/rag-tool/query
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insert: post /v1/tool-runtime/file_search-tool/insert
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query: post /v1/tool-runtime/file_search-tool/query
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responses:
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models:
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@ -1869,6 +1869,69 @@ paths:
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$ref: '#/components/schemas/SyntheticDataGenerateRequest'
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required: true
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deprecated: false
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/v1/tool-runtime/file_search-tool/insert:
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post:
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responses:
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'200':
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description: OK
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- ToolRuntime
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summary: >-
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Index documents so they can be used by the RAG system.
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description: >-
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Index documents so they can be used by the RAG system.
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parameters: []
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requestBody:
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/InsertRequest'
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required: true
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deprecated: false
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/v1/tool-runtime/file_search-tool/query:
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post:
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responses:
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'200':
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description: >-
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FileSearchResult containing the retrieved content and metadata
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/FileSearchResult'
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- ToolRuntime
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summary: >-
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Query the RAG system for context; typically invoked by the agent.
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description: >-
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Query the RAG system for context; typically invoked by the agent.
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parameters: []
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requestBody:
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/QueryRequest'
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required: true
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deprecated: false
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/v1/tool-runtime/invoke:
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post:
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responses:
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@ -1939,69 +2002,6 @@ paths:
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schema:
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$ref: '#/components/schemas/URL'
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deprecated: false
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/v1/tool-runtime/rag-tool/insert:
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post:
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responses:
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'200':
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description: OK
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- ToolRuntime
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summary: >-
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Index documents so they can be used by the RAG system.
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description: >-
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Index documents so they can be used by the RAG system.
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parameters: []
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requestBody:
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/InsertRequest'
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required: true
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deprecated: false
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/v1/tool-runtime/rag-tool/query:
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post:
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responses:
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'200':
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description: >-
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RAGQueryResult containing the retrieved content and metadata
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/RAGQueryResult'
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- ToolRuntime
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summary: >-
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Query the RAG system for context; typically invoked by the agent.
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description: >-
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Query the RAG system for context; typically invoked by the agent.
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parameters: []
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requestBody:
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/QueryRequest'
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required: true
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deprecated: false
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/v1/toolgroups:
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get:
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responses:
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@ -9698,6 +9698,274 @@ components:
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description: >-
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Response from the synthetic data generation. Batch of (prompt, response, score)
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tuples that pass the threshold.
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RAGDocument:
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type: object
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properties:
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document_id:
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type: string
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description: The unique identifier for the document.
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content:
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oneOf:
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- type: string
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- $ref: '#/components/schemas/InterleavedContentItem'
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- type: array
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items:
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$ref: '#/components/schemas/InterleavedContentItem'
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- $ref: '#/components/schemas/URL'
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description: The content of the document.
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mime_type:
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type: string
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description: The MIME type of the document.
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metadata:
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type: object
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additionalProperties:
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oneOf:
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- type: 'null'
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- type: boolean
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- type: number
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- type: string
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- type: array
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- type: object
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description: Additional metadata for the document.
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additionalProperties: false
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required:
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- document_id
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- content
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- metadata
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title: RAGDocument
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description: >-
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A document to be used for document ingestion in the RAG Tool.
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InsertRequest:
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type: object
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properties:
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documents:
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type: array
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items:
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$ref: '#/components/schemas/RAGDocument'
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description: >-
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List of documents to index in the RAG system
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vector_db_id:
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type: string
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description: >-
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ID of the vector database to store the document embeddings
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chunk_size_in_tokens:
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type: integer
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description: >-
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(Optional) Size in tokens for document chunking during indexing
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additionalProperties: false
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required:
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- documents
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- vector_db_id
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- chunk_size_in_tokens
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title: InsertRequest
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DefaultFileSearchGeneratorConfig:
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type: object
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properties:
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type:
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type: string
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const: default
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default: default
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description: >-
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Type of query generator, always 'default'
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separator:
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type: string
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default: ' '
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description: >-
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String separator used to join query terms
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additionalProperties: false
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required:
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- type
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- separator
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title: DefaultFileSearchGeneratorConfig
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description: >-
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Configuration for the default RAG query generator.
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FileSearchConfig:
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type: object
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properties:
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query_generator_config:
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oneOf:
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- $ref: '#/components/schemas/DefaultFileSearchGeneratorConfig'
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- $ref: '#/components/schemas/LLMFileSearchGeneratorConfig'
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discriminator:
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propertyName: type
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mapping:
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default: '#/components/schemas/DefaultFileSearchGeneratorConfig'
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llm: '#/components/schemas/LLMFileSearchGeneratorConfig'
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description: Configuration for the query generator.
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max_tokens_in_context:
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type: integer
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default: 4096
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description: Maximum number of tokens in the context.
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max_chunks:
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type: integer
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default: 5
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description: Maximum number of chunks to retrieve.
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chunk_template:
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type: string
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default: >
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Result {index}
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Content: {chunk.content}
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Metadata: {metadata}
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description: >-
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Template for formatting each retrieved chunk in the context. Available
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placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk
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content string), {metadata} (chunk metadata dict). Default: "Result {index}\nContent:
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{chunk.content}\nMetadata: {metadata}\n"
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mode:
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$ref: '#/components/schemas/FileSearchMode'
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default: vector
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description: >-
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Search mode for retrieval—either "vector", "keyword", or "hybrid". Default
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"vector".
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ranker:
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$ref: '#/components/schemas/Ranker'
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description: >-
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Configuration for the ranker to use in hybrid search. Defaults to RRF
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ranker.
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additionalProperties: false
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required:
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- query_generator_config
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- max_tokens_in_context
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- max_chunks
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- chunk_template
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title: FileSearchConfig
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description: >-
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Configuration for the RAG query generation.
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FileSearchMode:
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type: string
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enum:
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- vector
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- keyword
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- hybrid
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title: FileSearchMode
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description: >-
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Search modes for RAG query retrieval: - VECTOR: Uses vector similarity search
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for semantic matching - KEYWORD: Uses keyword-based search for exact matching
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- HYBRID: Combines both vector and keyword search for better results
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LLMFileSearchGeneratorConfig:
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type: object
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properties:
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type:
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type: string
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const: llm
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default: llm
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description: Type of query generator, always 'llm'
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model:
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type: string
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description: >-
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Name of the language model to use for query generation
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template:
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type: string
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description: >-
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Template string for formatting the query generation prompt
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additionalProperties: false
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required:
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- type
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- model
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- template
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title: LLMFileSearchGeneratorConfig
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description: >-
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Configuration for the LLM-based File Search generator.
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RRFRanker:
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type: object
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properties:
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type:
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type: string
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const: rrf
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default: rrf
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description: The type of ranker, always "rrf"
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impact_factor:
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type: number
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default: 60.0
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description: >-
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The impact factor for RRF scoring. Higher values give more weight to higher-ranked
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results. Must be greater than 0
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additionalProperties: false
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required:
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- type
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- impact_factor
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title: RRFRanker
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description: >-
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Reciprocal Rank Fusion (RRF) ranker configuration.
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Ranker:
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oneOf:
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- $ref: '#/components/schemas/RRFRanker'
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- $ref: '#/components/schemas/WeightedRanker'
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discriminator:
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propertyName: type
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mapping:
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rrf: '#/components/schemas/RRFRanker'
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weighted: '#/components/schemas/WeightedRanker'
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WeightedRanker:
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type: object
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properties:
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type:
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type: string
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const: weighted
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default: weighted
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description: The type of ranker, always "weighted"
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alpha:
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type: number
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default: 0.5
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description: >-
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Weight factor between 0 and 1. 0 means only use keyword scores, 1 means
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only use vector scores, values in between blend both scores.
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additionalProperties: false
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required:
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- type
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- alpha
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title: WeightedRanker
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description: >-
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Weighted ranker configuration that combines vector and keyword scores.
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QueryRequest:
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type: object
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properties:
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content:
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$ref: '#/components/schemas/InterleavedContent'
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description: >-
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The query content to search for in the indexed documents
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vector_db_ids:
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type: array
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items:
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type: string
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description: >-
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List of vector database IDs to search within
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query_config:
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$ref: '#/components/schemas/FileSearchConfig'
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description: >-
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(Optional) Configuration parameters for the query operation
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additionalProperties: false
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required:
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- content
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- vector_db_ids
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title: QueryRequest
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FileSearchResult:
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type: object
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properties:
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content:
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$ref: '#/components/schemas/InterleavedContent'
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description: >-
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(Optional) The retrieved content from the query
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metadata:
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type: object
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additionalProperties:
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oneOf:
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- type: 'null'
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- type: boolean
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- type: number
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- type: string
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- type: array
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- type: object
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description: >-
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Additional metadata about the query result
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additionalProperties: false
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required:
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- metadata
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title: FileSearchResult
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description: >-
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Result of a RAG query containing retrieved content and metadata.
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InvokeToolRequest:
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type: object
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properties:
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@ -9821,274 +10089,6 @@ components:
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title: ListToolDefsResponse
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description: >-
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Response containing a list of tool definitions.
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RAGDocument:
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type: object
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properties:
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document_id:
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type: string
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description: The unique identifier for the document.
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content:
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oneOf:
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- type: string
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- $ref: '#/components/schemas/InterleavedContentItem'
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- type: array
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items:
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$ref: '#/components/schemas/InterleavedContentItem'
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- $ref: '#/components/schemas/URL'
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description: The content of the document.
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mime_type:
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type: string
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description: The MIME type of the document.
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metadata:
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type: object
|
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additionalProperties:
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||||
oneOf:
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||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
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||||
- type: string
|
||||
- type: array
|
||||
- type: object
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||||
description: Additional metadata for the document.
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additionalProperties: false
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required:
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- document_id
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- content
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- metadata
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title: RAGDocument
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description: >-
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A document to be used for document ingestion in the RAG Tool.
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InsertRequest:
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type: object
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properties:
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documents:
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type: array
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||||
items:
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$ref: '#/components/schemas/RAGDocument'
|
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description: >-
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||||
List of documents to index in the RAG system
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vector_db_id:
|
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type: string
|
||||
description: >-
|
||||
ID of the vector database to store the document embeddings
|
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chunk_size_in_tokens:
|
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type: integer
|
||||
description: >-
|
||||
(Optional) Size in tokens for document chunking during indexing
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||||
additionalProperties: false
|
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required:
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- documents
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- vector_db_id
|
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- chunk_size_in_tokens
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title: InsertRequest
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DefaultRAGQueryGeneratorConfig:
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type: object
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properties:
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type:
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type: string
|
||||
const: default
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default: default
|
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description: >-
|
||||
Type of query generator, always 'default'
|
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separator:
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type: string
|
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default: ' '
|
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description: >-
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||||
String separator used to join query terms
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||||
additionalProperties: false
|
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required:
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- type
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- separator
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title: DefaultRAGQueryGeneratorConfig
|
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description: >-
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Configuration for the default RAG query generator.
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LLMRAGQueryGeneratorConfig:
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type: object
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||||
properties:
|
||||
type:
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||||
type: string
|
||||
const: llm
|
||||
default: llm
|
||||
description: Type of query generator, always 'llm'
|
||||
model:
|
||||
type: string
|
||||
description: >-
|
||||
Name of the language model to use for query generation
|
||||
template:
|
||||
type: string
|
||||
description: >-
|
||||
Template string for formatting the query generation prompt
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||||
additionalProperties: false
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||||
required:
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||||
- type
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- model
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||||
- template
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||||
title: LLMRAGQueryGeneratorConfig
|
||||
description: >-
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||||
Configuration for the LLM-based RAG query generator.
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||||
RAGQueryConfig:
|
||||
type: object
|
||||
properties:
|
||||
query_generator_config:
|
||||
oneOf:
|
||||
- $ref: '#/components/schemas/DefaultRAGQueryGeneratorConfig'
|
||||
- $ref: '#/components/schemas/LLMRAGQueryGeneratorConfig'
|
||||
discriminator:
|
||||
propertyName: type
|
||||
mapping:
|
||||
default: '#/components/schemas/DefaultRAGQueryGeneratorConfig'
|
||||
llm: '#/components/schemas/LLMRAGQueryGeneratorConfig'
|
||||
description: Configuration for the query generator.
|
||||
max_tokens_in_context:
|
||||
type: integer
|
||||
default: 4096
|
||||
description: Maximum number of tokens in the context.
|
||||
max_chunks:
|
||||
type: integer
|
||||
default: 5
|
||||
description: Maximum number of chunks to retrieve.
|
||||
chunk_template:
|
||||
type: string
|
||||
default: >
|
||||
Result {index}
|
||||
|
||||
Content: {chunk.content}
|
||||
|
||||
Metadata: {metadata}
|
||||
description: >-
|
||||
Template for formatting each retrieved chunk in the context. Available
|
||||
placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk
|
||||
content string), {metadata} (chunk metadata dict). Default: "Result {index}\nContent:
|
||||
{chunk.content}\nMetadata: {metadata}\n"
|
||||
mode:
|
||||
$ref: '#/components/schemas/RAGSearchMode'
|
||||
default: vector
|
||||
description: >-
|
||||
Search mode for retrieval—either "vector", "keyword", or "hybrid". Default
|
||||
"vector".
|
||||
ranker:
|
||||
$ref: '#/components/schemas/Ranker'
|
||||
description: >-
|
||||
Configuration for the ranker to use in hybrid search. Defaults to RRF
|
||||
ranker.
|
||||
additionalProperties: false
|
||||
required:
|
||||
- query_generator_config
|
||||
- max_tokens_in_context
|
||||
- max_chunks
|
||||
- chunk_template
|
||||
title: RAGQueryConfig
|
||||
description: >-
|
||||
Configuration for the RAG query generation.
|
||||
RAGSearchMode:
|
||||
type: string
|
||||
enum:
|
||||
- vector
|
||||
- keyword
|
||||
- hybrid
|
||||
title: RAGSearchMode
|
||||
description: >-
|
||||
Search modes for RAG query retrieval: - VECTOR: Uses vector similarity search
|
||||
for semantic matching - KEYWORD: Uses keyword-based search for exact matching
|
||||
- HYBRID: Combines both vector and keyword search for better results
|
||||
RRFRanker:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
const: rrf
|
||||
default: rrf
|
||||
description: The type of ranker, always "rrf"
|
||||
impact_factor:
|
||||
type: number
|
||||
default: 60.0
|
||||
description: >-
|
||||
The impact factor for RRF scoring. Higher values give more weight to higher-ranked
|
||||
results. Must be greater than 0
|
||||
additionalProperties: false
|
||||
required:
|
||||
- type
|
||||
- impact_factor
|
||||
title: RRFRanker
|
||||
description: >-
|
||||
Reciprocal Rank Fusion (RRF) ranker configuration.
|
||||
Ranker:
|
||||
oneOf:
|
||||
- $ref: '#/components/schemas/RRFRanker'
|
||||
- $ref: '#/components/schemas/WeightedRanker'
|
||||
discriminator:
|
||||
propertyName: type
|
||||
mapping:
|
||||
rrf: '#/components/schemas/RRFRanker'
|
||||
weighted: '#/components/schemas/WeightedRanker'
|
||||
WeightedRanker:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
const: weighted
|
||||
default: weighted
|
||||
description: The type of ranker, always "weighted"
|
||||
alpha:
|
||||
type: number
|
||||
default: 0.5
|
||||
description: >-
|
||||
Weight factor between 0 and 1. 0 means only use keyword scores, 1 means
|
||||
only use vector scores, values in between blend both scores.
|
||||
additionalProperties: false
|
||||
required:
|
||||
- type
|
||||
- alpha
|
||||
title: WeightedRanker
|
||||
description: >-
|
||||
Weighted ranker configuration that combines vector and keyword scores.
|
||||
QueryRequest:
|
||||
type: object
|
||||
properties:
|
||||
content:
|
||||
$ref: '#/components/schemas/InterleavedContent'
|
||||
description: >-
|
||||
The query content to search for in the indexed documents
|
||||
vector_db_ids:
|
||||
type: array
|
||||
items:
|
||||
type: string
|
||||
description: >-
|
||||
List of vector database IDs to search within
|
||||
query_config:
|
||||
$ref: '#/components/schemas/RAGQueryConfig'
|
||||
description: >-
|
||||
(Optional) Configuration parameters for the query operation
|
||||
additionalProperties: false
|
||||
required:
|
||||
- content
|
||||
- vector_db_ids
|
||||
title: QueryRequest
|
||||
RAGQueryResult:
|
||||
type: object
|
||||
properties:
|
||||
content:
|
||||
$ref: '#/components/schemas/InterleavedContent'
|
||||
description: >-
|
||||
(Optional) The retrieved content from the query
|
||||
metadata:
|
||||
type: object
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
description: >-
|
||||
Additional metadata about the query result
|
||||
additionalProperties: false
|
||||
required:
|
||||
- metadata
|
||||
title: RAGQueryResult
|
||||
description: >-
|
||||
Result of a RAG query containing retrieved content and metadata.
|
||||
ToolGroup:
|
||||
type: object
|
||||
properties:
|
||||
|
|
@ -10280,8 +10280,8 @@ components:
|
|||
`ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional
|
||||
information about the chunk that will not be used in the context during
|
||||
inference, but is required for backend functionality. The `ChunkMetadata` is
|
||||
set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not
|
||||
expected to change after. Use `Chunk.metadata` for metadata that will
|
||||
set during chunk creation in `FileSearchToolRuntimeImpl().insert()`and is
|
||||
not expected to change after. Use `Chunk.metadata` for metadata that will
|
||||
be used in the context during inference.
|
||||
InsertChunksRequest:
|
||||
type: object
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue