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chore(cleanup)!: remove tool_runtime.rag_tool (#3871)

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Kill the `builtin::rag` tool group completely since it is no longer
targeted. We use the Responses implementation for knowledge_search which
uses the `openai_vector_stores` pathway.

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Ashwin Bharambe 2025-10-20 22:26:21 -07:00 • committed by GitHub
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llama_stack/providers/registry/vector_io.py
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@ -119,7 +119,7 @@ Datasets that can fit in memory, frequent reads | Faiss | Optimized for speed, i
#### Empirical Example
Consider the histogram below in which 10,000 randomly generated strings were inserted
in batches of 100 into both Faiss and sqlite-vec using `client.tool_runtime.rag_tool.insert()`.
in batches of 100 into both Faiss and sqlite-vec.
```{image} ../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png
:alt: Comparison of SQLite-Vec and Faiss write times