Bumps version in pyproject.toml and semantica/__init__.py from 0.3.0-alpha
to 0.3.0-beta, updates PyPI classifier to Development Status 4 - Beta,
and promotes all Unreleased CHANGELOG entries under the [0.3.0-beta] section.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Decision tracking system with comprehensive lifecycle management
- Advanced KG algorithms and vector store features
- Enhanced context module with unified AgentContext
- Production-ready architecture with validation
- Fixed test suite issues for release readiness
- 113+ tests passing across core modules
- Keep pgvector backend integration with _init_backend_store method
- Preserve decision-specific components from main branch
- Maintain both VectorStore backend support and decision pipeline functionality
- Fix duplicate initialization and proper component placement
- Add gensim>=4.3.0 to core dependencies
- Required for Node2Vec embeddings in enhanced vector store
- Fixes ImportError in benchmark tests
- Ensures Node2Vec functionality works out of the box
- Add Snowflake connector with multi-authentication support (PR #276)
- Add Apache Arrow export with explicit schemas (PR #273)
- Add comprehensive benchmark suite with regression CLI (PR #289)
- Update version to 0.2.7 across all files
- Update documentation and citations
- 44/44 tests passing, zero breaking changes
- Fix variable shadowing in fetch_vectors (use vector_id instead of id)
- Remove redundant PINECONE_AVAILABLE check in create_index
- Add Pinecone imports and exports to __init__.py
- Add 'pinecone' to SUPPORTED_BACKENDS in vector_store.py
- Add vectorstore-pinecone dependency group to pyproject.toml
- Create vectorstore-all optional dependency group
- Fix duplicate MagicMock import in test_pinecone_store.py
- Update test_pinecone_removal.py with explanatory comment
- Update all docstrings to include Pinecone in supported backends
All fixes address code review feedback and ensure proper integration.
- Add API key handling in extract_entities_llm(), extract_relations_llm(), and extract_triplets_llm()
- Add explicit api_key handling in NERExtractor and RelationExtractor
- Add llm_model parameter support in extract_triplets_llm() for consistency
- Fix relation extraction bug with type checking for subject_text/object_text
- Add environment variable fallback for API keys
- Update notebook with standard API key pattern
Fixes#147
- Added DoclingParser class in semantica/parse/ module
- Created earnings call analysis notebook with Docling integration
- Added docling to pyproject.toml as optional dependency
- Maintained backward compatibility with existing parsers
Closes#124
Summary of changes:
- Update version to 0.1.0 in pyproject.toml and __init__.py files
- Add semantica/cli.py with click-based interface
- Add semantica/server.py with FastAPI-based REST API
- Add semantica/worker.py for background task processing
- Update documentation and changelog for v0.1.0
Set FastEmbed as default embedding provider in TextEmbedder. Updated dependencies in pyproject.toml. Refreshed Context Module notebook and documentation to reflect changes. Added verification tests.
- Removed all Pinecone references, adapters, and documentation to align with open-source, self-hosted focus.
- Removed PineconeAdapter and related dependencies.
- Updated VectorStore to enforce supported backends (FAISS, Weaviate, Qdrant, Milvus, InMemory).
- Updated cookbooks (e.g., 13_Vector_Store.ipynb) to use Weaviate/FAISS examples instead of Pinecone.
- Updated core documentation (modules.md, rchitecture.md, etc.) to reflect backend changes.
- Added new tests ( est_pinecone_removal.py, est_vector_store_deepdive.py) to verify removal and validate remaining backends.
- Verified all vector store tests pass.
