chore: Rename RagTool FileSearchTool

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo 2025-10-24 16:52:58 -04:00
parent 4566eebe05
commit 2d9163529a
288 changed files with 16985 additions and 2071 deletions

View file

@ -18,7 +18,7 @@ def available_providers() -> list[ProviderSpec]:
return [
InlineProviderSpec(
api=Api.tool_runtime,
provider_type="inline::rag-runtime",
provider_type="inline::file_search-runtime",
pip_packages=DEFAULT_VECTOR_IO_DEPS
+ [
"tqdm",
@ -29,8 +29,8 @@ def available_providers() -> list[ProviderSpec]:
"sentencepiece",
"transformers",
],
module="llama_stack.providers.inline.tool_runtime.rag",
config_class="llama_stack.providers.inline.tool_runtime.rag.config.RagToolRuntimeConfig",
module="llama_stack.providers.inline.tool_runtime.file_search",
config_class="llama_stack.providers.inline.tool_runtime.file_search.config.RagToolRuntimeConfig",
api_dependencies=[Api.vector_io, Api.inference, Api.files],
description="RAG (Retrieval-Augmented Generation) tool runtime for document ingestion, chunking, and semantic search.",
),

View file

@ -241,33 +241,33 @@ Two ranker types are supported:
- alpha=1: Only use vector scores
- alpha=0.5: Equal weight to both (default)
Example using RAGQueryConfig with different search modes:
Example using FileSearchConfig with different search modes:
```python
from llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker
from llama_stack.apis.tools import FileSearchConfig, RRFRanker, WeightedRanker
# Vector search
config = RAGQueryConfig(mode="vector", max_chunks=5)
config = FileSearchConfig(mode="vector", max_chunks=5)
# Keyword search
config = RAGQueryConfig(mode="keyword", max_chunks=5)
config = FileSearchConfig(mode="keyword", max_chunks=5)
# Hybrid search with custom RRF ranker
config = RAGQueryConfig(
config = FileSearchConfig(
mode="hybrid",
max_chunks=5,
ranker=RRFRanker(impact_factor=50.0), # Custom impact factor
)
# Hybrid search with weighted ranker
config = RAGQueryConfig(
config = FileSearchConfig(
mode="hybrid",
max_chunks=5,
ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword
)
# Hybrid search with default RRF ranker
config = RAGQueryConfig(
config = FileSearchConfig(
mode="hybrid", max_chunks=5
) # Will use RRF with impact_factor=60.0
```