fix qdrant

config/chat-vectorstore-qa.yml

@@ -17,7 +17,7 @@ llm:
     Helpful answer:
 
 vector:
-  vector_path: "http://qdrant:6333"
+  vector_path: "qdrant"
   # vector_path: ./vectorstore/qdrant # Path to the vectorstore to do QA retrieval
   vector_download: null
   embeddings_path: ./embeddings/all-MiniLM-L6-v2 # Embeddings used to generate the vectors. To use from HF: sentence-transformers/all-MiniLM-L6-v2

src/libre_chat/llm.py

@@ -171,7 +171,7 @@ def setup_dbqa(self) -> None:
             # FAISS should automatically use GPU?
             # vectorstore = FAISS.load_local(self.get_vectorstore(), embeddings)
             vectorstore = Qdrant(
-                QdrantClient(url=self.conf.vector.vector_path),
+                QdrantClient(host=self.conf.vector.vector_path, prefer_grpc=True),
                 collection_name="libre_chat_rag",
                 embeddings=embeddings,
             )
@@ -231,9 +231,9 @@ def build_vectorstore(self, documents_path: Optional[str] = None) -> Optional[Qd
                 splitted_texts,
                 embeddings,
                 # path=self.conf.vector.vector_path,
-                url=self.conf.vector.vector_path,
+                host=self.conf.vector.vector_path,
                 collection_name="libre_chat_rag",
-                # prefer_grpc=True,
+                prefer_grpc=True,
                 # force_recreate=True,
             )
             # vectorstore = FAISS.from_documents(splitted_texts, embeddings)