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Changelog

0.3.0 (2026-03-20)

  • Vector field search with custom embeddings — new embeddings, query_vector, and vector_field parameters on FoxNoseRetriever allow using custom pre-computed embedding vectors or LangChain Embeddings models for semantic search via the SDK's vector_field_search() method
  • SDK convenience methods — the retriever now uses SDK v0.5.0 convenience methods (vector_search(), hybrid_search(), boosted_search(), vector_field_search()) instead of manually building request bodies
  • Strict config validation — hybrid_config and vector_boost_config dicts are now validated against strict models that reject unknown keys (typos are caught at init time)
  • search_kwargs improvements — known keys like limit and offset are extracted as named SDK method parameters; conflicting keys (e.g. search_mode, vector_search) are rejected at validation time
  • Deprecation — build_search_body() is deprecated and will be removed in v0.4.0
  • Require foxnose-sdk>=0.5.0

0.2.1 (2026-03-18)

  • Align package metadata versioning so langchain_foxnose.__version__ matches the published package version
  • Require foxnose-sdk>=0.4.2 for the secure-auth signing fix

0.1.0 (2026-01-27)

Initial release.

  • FoxNoseRetriever — LangChain BaseRetriever backed by FoxNose Flux search
  • Support for all search modes: text, vector, hybrid, and vector-boosted
  • Flexible content mapping: single field, multiple fields, or custom mapper
  • Metadata control: whitelist, blacklist, system metadata toggle
  • Native async support via AsyncFluxClient
  • Structured filtering via where parameter
  • Convenience from_client_params() constructor