Fixes#433
- ContextGraph.add_decision() now accepts keyword arguments (category,
scenario, reasoning, outcome, confidence, entities, decision_maker)
in addition to a Decision object, matching documented behaviour.
Both call forms return the decision ID string.
- Quickstart snippets in README, getting-started.md, and index.md
changed from VectorStore(backend="faiss") to VectorStore(backend="inmemory")
so they work without faiss-cpu installed.
- docs/reference/context.md methods table updated to reflect the dual
signature of add_decision().
- docs/bugs/quickstart_api_mismatch.md added to track the issue.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add 'from datetime import datetime' import in e-commerce examples
- Change 'max_results=5' to 'limit=5' for find_precedents_by_scenario calls
- Fix docs/reference/context.md e-commerce example
- Fix semantica/context/context_usage.md e-commerce example
- Ensure documentation examples are self-contained and copy-paste ready
- Match actual API parameter names for correct behavior
- All 62 tests still passing successfully
- Fix method name conflicts: add_decision -> add_decision_simple, find_precedents -> find_precedents_by_scenario
- Fix Decision ID handling: align tests with Decision model UUID generation behavior
- Fix AgentContext integration: proper handling of context_graph backend in get_causal_chain
- Fix Policy engine: remove invalid auto_generate_id parameter from deserialization
- Fix node type consistency: handle lowercase 'decision' type across all methods
- Fix timestamp handling: proper conversion for string and datetime objects
- Update documentation: correct method names and Decision model usage in examples
- All 62 Context Graph tests passing successfully
- Production ready with comprehensive verification
- Enhanced README.md with strategic emojis for better visual appeal
- Updated context_usage.md with detailed, user-friendly examples
- Improved docs/reference/context.md with accessible language
- Added AgentContext sections with progressive learning approach
- Maintained professional appearance while improving readability
- Consistent documentation across all context module files
- Remove broken link from reference/context.md that was causing CI failure
- Decision tracking functionality is now integrated into the context module
- Fix mkdocs build strict mode warning about missing target file
- Ensure documentation builds successfully in CI pipeline
- Add decision tracking system with DecisionRecorder, DecisionQuery, CausalChainAnalyzer, PolicyEngine
- Implement KG algorithm integration with centrality, community detection, embeddings, path finding
- Add vector store integration with hybrid search and custom similarity weights
- Enhance context graphs with advanced analytics and decision support
- Update documentation with comprehensive context module reference
- Add production examples for banking and healthcare use cases
- Update README to highlight context graph framework capabilities
- Add comprehensive test suite for all new features
- Reduced code examples in all guide pages (getting-started, quickstart, concepts, modules, examples, use-cases, learning-more)
- Added comprehensive cookbook links with descriptions (topics, difficulty, time, use cases)
- Improved structure and organization across all guide pages
- Updated use-cases.md to only include use cases with corresponding cookbooks
- Removed 'Last Updated: 2024' from all documentation files
- Enhanced navigation with better 'Next Steps' sections
- Add semantica.llms module with Groq, OpenAI, HuggingFace, and LiteLLM providers
- Add query_with_reasoning() method for multi-hop reasoning with LLM-generated responses
- Update ContextRetriever and AgentContext with reasoning capabilities
- Add comprehensive documentation for LLM providers and GraphRAG reasoning
- Update README and docs with new features
- Update notebook examples to use new query_with_reasoning() method
- 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.
