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chore!: BREAKING CHANGE: vector_db_id -> vector_store_id (#3923)

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# What does this PR do?


## Test Plan
CI
vector_io tests will fail until next client sync

passed with
https://github.com/llamastack/llama-stack-client-python/pull/286 checked
out locally
This commit is contained in:
ehhuang 2025-10-27 14:26:06 -07:00 • committed by GitHub
parent b6954c9882
commit b7dd3f5c56
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29 changed files with 175 additions and 175 deletions
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8
src/llama_stack/apis/tools/rag_tool.py
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@ -190,13 +190,13 @@ class RAGToolRuntime(Protocol):
async def insert(
self,
documents: list[RAGDocument],
vector_db_id: str,
vector_store_id: str,
chunk_size_in_tokens: int = 512,
) -> None:
"""Index documents so they can be used by the RAG system.
:param documents: List of documents to index in the RAG system
:param vector_db_id: ID of the vector database to store the document embeddings
:param vector_store_id: ID of the vector database to store the document embeddings
:param chunk_size_in_tokens: (Optional) Size in tokens for document chunking during indexing
"""
...
@ -205,13 +205,13 @@ class RAGToolRuntime(Protocol):
async def query(
self,
content: InterleavedContent,
vector_db_ids: list[str],
vector_store_ids: list[str],
query_config: RAGQueryConfig | None = None,
) -> RAGQueryResult:
"""Query the RAG system for context; typically invoked by the agent.
:param content: The query content to search for in the indexed documents
:param vector_db_ids: List of vector database IDs to search within
:param vector_store_ids: List of vector database IDs to search within
:param query_config: (Optional) Configuration parameters for the query operation
:returns: RAGQueryResult containing the retrieved content and metadata
"""