autoagents-qdrant 0.3.7

Agent Framework for Building Autonomous Agents
Documentation

AutoAgents Qdrant

Vector store index integration for Qdrant. This adapter works with AutoAgents embedding providers and supports dense retrieval as well as Qdrant's hybrid queries.

Named vectors

autoagents-qdrant supports Qdrant named vectors via the vector-store API:

  • Use VectorStoreIndex::insert_documents_with_named_vectors(...) to upsert points with multiple named vector spaces.
  • Use QdrantVectorStore::delete_collection_if_exists() when you need an explicit collection reset before first upsert defines dimensions.
  • Use VectorSearchRequest::builder().query_vector_name("symbol") to select the vector space at query time.
  • Keep omitting query_vector_name (or use "default") for backward-compatible single-vector behavior.