feat: Qdrant vector search (#271)

Signed-off-by: Anush008 <anushshetty90@gmail.com>

Author: Anush008

config/config.yaml

@@ -140,6 +140,8 @@ processing:
 storage:
   enabled: true
   backends:
+    # Vector database configuration - Choose either ChromaDB or Qdrant
+    # ChromaDB (default)
     - name: "default_vector"
       storage_type: "vector_db"
       backend: "chromadb"
@@ -148,6 +150,24 @@ storage:
         path: "${CONTEXT_PATH:.}/persist/chromadb"
         collection_prefix: "opencontext"
 
+    # Qdrant (alternative vector database)
+    # Uncomment to use Qdrant instead of ChromaDB:
+    # - name: "default_vector"
+    #   storage_type: "vector_db"
+    #   backend: "qdrant"
+    #   config:
+    #     # Vector size MUST match your embedding model's output dimension
+    #     vector_size: 1536 # Set this to match embedding_model.output_dim above (line 37)
+    #
+    #     # Local mode (uses file-based storage):
+    #     path: "${CONTEXT_PATH:.}/persist/qdrant"
+    #
+    #     # Server mode (comment out 'path' above and uncomment the settings below):
+    #     # host: "localhost"
+    #     # port: 6333
+    #     # https: false
+    #     # api_key: "${QDRANT_API_KEY}"  # Optional: API key for authentication
+
     - name: "document_store"
       storage_type: "document_db"
       backend: "sqlite"