muscles-data-qdrant

Qdrant adapter package for muscles-data.

This package is intentionally separate from muscles-data: the core package owns typed ports, resource runtime and diagnostics, while this package owns the Qdrant-backed VectorSearchPort implementation.

Related packages

• Core runtime and port contracts: muscles-data
• Elasticsearch search adapter: muscles-data-elasticsearch
• OpenSearch search adapter: muscles-data-opensearch
• Redis key-value/lock/stream adapter: muscles-data-redis
• MongoDB document-store adapter: muscles-data-mongodb
• S3 object-store adapter: muscles-data-s3
• SQLAlchemy direct SQL resource adapter: muscles-data-sqlalchemy
• Executable example: example_data_qdrant_1

Usage

Register this adapter once in the application composition root when building the shared DataAdapterCatalog, alongside other configured adapters:

catalog.register(QdrantVectorFactory())

The vector.docs resource itself is declared in the application's central data.resources configuration shown below. A package resolves the port from the existing runtime; it does not build another catalog or DataRuntime:

from muscles.data.ports import VectorSearchPort

vector = app.resource.connect("vector.docs", VectorSearchPort)

Resource config stays in the project:

data:
  resources:
    vector.docs:
      type: qdrant
      url_env: QDRANT_URL
      api_key: !environ QDRANT_API_KEY
      collection: docs
      vector_size: 1536
      distance: cosine
      timeout: 3
      prefer_grpc: false

The adapter creates the Qdrant client and collection lazily on vector search/write/delete, explicit native access or data.doctor. Application code should use VectorSearchPort; direct client access is only an advanced escape hatch with native_client: true.

vector_size is required when a missing collection must be created. Request dimensions are validated against the configured/existing collection, and keyword payload indexes are created for standard AssetForge filter fields. Embeddings are not generated by this adapter.

See muscular-example/example_data_qdrant_1 for an executable example.