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v0.1.10

The 0.1.10 release was primarily focused on expanding async support for QdrantIndex, PostgresIndex, and HybridRouter, alongside many synchronization and testing improvements.

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Feature: Expanded Async Support

  • QdrantIndex: Async methods have been brought inline with our other indexes, ensuring consistent behavior.
  • PostgresIndex: Async methods have been added to the PostgresIndex for improved performance in async environments.
  • HybridRouter: Async support for the HybridRouter is now aligned with the SemanticRouter, providing a more consistent experience.

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Fixes and Optimizations

  • LocalIndex Bug Fix: Added a metadata attribute to the local index. This fixes a bug where LocalIndex embeddings would always be recomputed, as reported in issue #585.
  • Various other bug fixes and optimizations have been included in this release.
  • The urllib3 library has been upgraded.
  • Test compatibility and synchronization have been optimized.

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v0.1.9

The 0.1.9 update focuses on improving support for our local deployment options. We have standardized the PostgresIndex to bring it in line with other index options and prepare it for future feature releases. For local extras (inclusing transformers and llama_cpp support) and postgres extras we have resolved issues making those extras unusable with Python 3.13.

Continue reading below for more detail.

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Feature: Improvements to postgres Support

  • Upgrade from psycopg2 to v3 (psycopg): We’ve upgraded our PostgreSQL driver from psycopg2 to the newer psycopg v3, which provides better performance and modern Python compatibility.

  • Standardization of sync methods: The PostgresIndex class now has standardized synchronous methods that integrate seamlessly into our standard pytest test suite, ensuring better testing coverage and reliability.

  • Addition of IndexType support: We’ve introduced IndexType which includes FLAT, IVFFLAT, and HNSW index types. Both FLAT and IVFFLAT map to the IVFFLAT index in pgvector (pgvector does not currently support FLAT and so IVFFLAT is the closest approximation - but our other indexes do). FLAT is now the default index type. We recommend HNSW for high-scale use cases with many millions of utterances due to its higher memory requirements and complexity.

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Feature: Configurable Logging

  • Environment variable log level control: Logger now supports configurable log levels via environment variables. Set SEMANTIC_ROUTER_LOG_LEVEL or LOG_LEVEL to control logging verbosity (e.g., DEBUG, INFO, WARNING, ERROR). Defaults to INFO if not specified.

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Fix: Local Installation for Python 3.13 and up

Python 3.13 and up had originally been incompatible with our local installations due to the lack of compatability with PyTorch and the (then) new version of Python. We have now added the following version support for local libraries:

local = [
    "torch>=2.6.0 ; python_version >= '3.13'",
    "transformers>=4.50.0 ; python_version >= '3.13'",
    "tokenizer>=0.20.2 ; python_version >= '3.13'",
    "llama-cpp-python>=0.3.0 ; python_version >= '3.13'",
]

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Fix: Consistent Index Length Behavior

  • Standardized __len__ method across all index implementations: All index types now consistently return 0 when uninitialized, preventing potential AttributeError exceptions that could occur in PineconeIndex and QdrantIndex when checking the length of uninitialized indexes.

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Chore: Broader and More Useful Tests

We have broken our tests apart into strict unit and integration test directories. Now, when incoming PRs are raised we will no longer trigger integration tests that require API keys to successfully run. To ensure we’re still covering all components of the library we have broadened our testing suite to extensively test LocalIndex, PineconeIndex (via Pinecone Local), PostgresIndex, and QdrantIndex within those unit tests.