Packages
@anvia/qdrant: Overview
Qdrant vector store adapter for Anvia retrieval and semantic search.
What it is
Qdrant vector store adapter for Anvia retrieval and semantic search.
Use @anvia/qdrant when the application needs Qdrant as the backing store for embedded documents and semantic search. It is one of the storage adapters that expose a provider-neutral VectorSearchIndex.
Where it fits
@anvia/qdrant stores embedded documents in Qdrant and returns indexes that implement VectorSearchIndex. Agents can use the index as dynamic context or as a search tool without depending on the database client.
The package owns connection setup, document upsert, metadata filter translation through filterToQdrantFilter, and search result mapping. Keep document loading, chunking, embedding model choice, tenant scoping, and ingestion jobs in application code.
Public surface
The main documented exports are QdrantVectorStoreConnectOptions, QdrantVectorStore, QdrantVectorIndex, filterToQdrantFilter. The reference page lists the package entrypoint and public symbols that are checked by the docs reference coverage script.