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remove vector_db
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo
parent
aee4afb327
commit
27c2b2dd57
16 changed files with 4 additions and 2596 deletions
269
docs/static/llama-stack-spec.html
vendored
269
docs/static/llama-stack-spec.html
vendored
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@ -2987,165 +2987,6 @@
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"deprecated": false
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}
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},
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"/v1/vector-dbs": {
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"get": {
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"responses": {
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"200": {
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"description": "A ListVectorDBsResponse.",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/ListVectorDBsResponse"
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}
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}
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}
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"VectorDBs"
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],
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"summary": "List all vector databases.",
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"description": "List all vector databases.",
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"parameters": [],
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"deprecated": false
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},
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"post": {
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"responses": {
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"200": {
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"description": "A VectorDB.",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/VectorDB"
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}
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}
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}
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"VectorDBs"
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],
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"summary": "Register a vector database.",
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"description": "Register a vector database.",
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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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"$ref": "#/components/schemas/RegisterVectorDbRequest"
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}
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}
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},
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"required": true
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},
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"deprecated": false
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}
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},
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"/v1/vector-dbs/{vector_db_id}": {
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"get": {
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"responses": {
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"200": {
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"description": "A VectorDB.",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/VectorDB"
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}
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}
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}
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"VectorDBs"
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],
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"summary": "Get a vector database by its identifier.",
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"description": "Get a vector database by its identifier.",
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"parameters": [
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{
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"name": "vector_db_id",
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"in": "path",
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"description": "The identifier of the vector database to get.",
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"required": true,
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"schema": {
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"type": "string"
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}
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}
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],
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"deprecated": false
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},
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"delete": {
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"responses": {
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"200": {
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"description": "OK"
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"VectorDBs"
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],
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"summary": "Unregister a vector database.",
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"description": "Unregister a vector database.",
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"parameters": [
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{
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"name": "vector_db_id",
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"in": "path",
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"description": "The identifier of the vector database to unregister.",
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"required": true,
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"schema": {
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"type": "string"
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}
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}
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],
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"deprecated": false
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}
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},
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"/v1/vector-io/insert": {
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"post": {
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"responses": {
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@ -11791,111 +11632,6 @@
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],
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"title": "RegisterToolGroupRequest"
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},
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"VectorDB": {
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"type": "object",
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"properties": {
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"identifier": {
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"type": "string"
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},
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"provider_resource_id": {
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"type": "string"
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},
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"provider_id": {
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"type": "string"
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},
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"type": {
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"type": "string",
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"enum": [
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"model",
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"shield",
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"vector_db",
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"dataset",
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"scoring_function",
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"benchmark",
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"tool",
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"tool_group",
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"prompt"
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],
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"const": "vector_db",
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"default": "vector_db",
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"description": "Type of resource, always 'vector_db' for vector databases"
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},
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"embedding_model": {
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"type": "string",
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"description": "Name of the embedding model to use for vector generation"
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},
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"embedding_dimension": {
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"type": "integer",
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"description": "Dimension of the embedding vectors"
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},
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"vector_db_name": {
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"type": "string"
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}
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},
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"additionalProperties": false,
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"required": [
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"identifier",
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"provider_id",
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"type",
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"embedding_model",
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"embedding_dimension"
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],
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"title": "VectorDB",
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"description": "Vector database resource for storing and querying vector embeddings."
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},
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"ListVectorDBsResponse": {
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"type": "object",
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"properties": {
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"data": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/VectorDB"
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},
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"description": "List of vector databases"
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}
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},
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"additionalProperties": false,
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"required": [
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"data"
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],
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"title": "ListVectorDBsResponse",
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"description": "Response from listing vector databases."
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},
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"RegisterVectorDbRequest": {
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"type": "object",
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"properties": {
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"vector_db_id": {
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"type": "string",
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"description": "The identifier of the vector database to register."
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},
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"embedding_model": {
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"type": "string",
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"description": "The embedding model to use."
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},
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"embedding_dimension": {
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"type": "integer",
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"description": "The dimension of the embedding model."
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},
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"provider_id": {
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"type": "string",
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"description": "The identifier of the provider."
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},
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"vector_db_name": {
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"type": "string",
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"description": "The name of the vector database."
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},
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"provider_vector_db_id": {
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"type": "string",
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"description": "The identifier of the vector database in the provider."
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}
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},
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"additionalProperties": false,
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"required": [
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"vector_db_id",
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"embedding_model"
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],
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"title": "RegisterVectorDbRequest"
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},
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"Chunk": {
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"type": "object",
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"properties": {
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@ -13371,10 +13107,6 @@
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"name": "ToolRuntime",
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"description": ""
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},
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{
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"name": "VectorDBs",
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"description": ""
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},
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{
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"name": "VectorIO",
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"description": ""
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@ -13400,7 +13132,6 @@
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"Telemetry",
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"ToolGroups",
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"ToolRuntime",
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"VectorDBs",
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"VectorIO"
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]
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}
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