sajad-dev
94355af62b
- Introduced LLM configuration in rag_config.yaml and corresponding LLMConfig class in config.py. - Updated load_rag_config function to parse LLM settings from the configuration file. - Added new API route for RAG in urls.py to facilitate access to the chat model. - Modified QdrantVectorStore to use query_points method for improved functionality.
28 lines
684 B
Python
28 lines
684 B
Python
"""
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ماژول RAG — پایگاه دانش CropLogic
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فاز یک: Qdrant بهعنوان vector store
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"""
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from .chat import chat_rag_stream
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from .chunker import chunk_text, chunk_texts
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from .client import get_qdrant_client
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from .config import load_rag_config
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from .embedding import embed_single, embed_texts
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from .ingest import ingest, load_sources
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from .retrieve import search_with_query
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from .vector_store import QdrantVectorStore
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__all__ = [
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"chat_rag_stream",
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"chunk_text",
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"chunk_texts",
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"embed_single",
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"embed_texts",
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"get_qdrant_client",
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"ingest",
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"load_rag_config",
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"load_sources",
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"QdrantVectorStore",
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"search_with_query",
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]
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