Files
crewAI/lib/crewai-tools/src/crewai_tools/adapters/rag_adapter.py
2025-10-02 11:06:38 -04:00

39 lines
1.0 KiB
Python

from typing import Any
from crewai_tools.rag.core import RAG
from crewai_tools.tools.rag.rag_tool import Adapter
class RAGAdapter(Adapter):
def __init__(
self,
collection_name: str = "crewai_knowledge_base",
persist_directory: str | None = None,
embedding_model: str = "text-embedding-3-small",
top_k: int = 5,
embedding_api_key: str | None = None,
**embedding_kwargs,
):
super().__init__()
# Prepare embedding configuration
embedding_config = {"api_key": embedding_api_key, **embedding_kwargs}
self._adapter = RAG(
collection_name=collection_name,
persist_directory=persist_directory,
embedding_model=embedding_model,
top_k=top_k,
embedding_config=embedding_config,
)
def query(self, question: str) -> str:
return self._adapter.query(question)
def add(
self,
*args: Any,
**kwargs: Any,
) -> None:
self._adapter.add(*args, **kwargs)