Vector-Store

Vector Store Service

VectorStoreService provides embeddings collection management and similarity search.

Related pages: Configuration, Overview.

Core API

• ensure_collection(name, dimension, distance_metric, recreate=False)
• add_documents(collection, ids, vectors, metadata=None, payloads=None)
• search_similar(collection, query_vector, k=10, filter=None, score_threshold=None)
• get_document(collection, document_id)
• update_document(...)
• delete_documents(collection, ids)
• get_collection_size(collection)
• list_collections()

Adapter options

• qdrant: external Qdrant server.
• qdrant_in_memory: in-memory implementation for local/dev tests.
• custom: pluggable adapter.

Config example

services:
  vector_store:
    vector_store_adapter:
      adapter: "qdrant"
      config:
        host: "localhost"
        port: 6333
        https: false
        timeout: 30

Notes

• Service auto-initializes adapter on first call.
• Input validation checks length consistency for ids/vectors/metadata/payloads.
• score_threshold filtering is applied client-side on results.