پلتفرم چت‌بات هوش مصنوعی
پایپ‌لاین ماژولار RAG

async def query_vector_store(query: str, filters: dict = None) -> List[Document]:
  # Generate sparse vector for hybrid search
  sparse_vec = splade_encoder.encode_documents([query])[0]
  # Execute parallel search execution
  results = await pinecone_index.query( vector=dense_embedding, sparse_vector=sparse_vec, top_k=10, include_metadata=True, filter=filters)
  return [_parse_match(m) for m in results.matches]