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docs: clarify UV compatibility fix included in v0.5.10
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CHANGELOG.md

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# Changelog
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## [0.5.10] - 2025-11-23
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### Documentation
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- Updated CHANGELOG to explicitly document UV environment compatibility fix from v0.5.6
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- Clarified that the `intersystems-irispython` UV incompatibility fix (Issue #5) is already included
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### Notes
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- No code changes - this release updates documentation only
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- All fixes from v0.5.9 are included
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- UV compatibility fix was already present in v0.5.6 (commit 478d3f1b) and carried forward
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## [0.5.9] - 2025-11-23
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### Added
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- MetadataFilterManager class for centralized validation
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### Fixed
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- **UV Environment Compatibility** - Fixed intersystems-irispython import failures in UV isolated environments (v0.5.6)
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- Replaced hardcoded `import intersystems_iris.dbapi._DBAPI as iris` with UV-compatible fallback logic
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- `get_iris_dbapi_connection()` now uses `_get_iris_dbapi_module()` with robust path resolution
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- Resolves ImportError in UV's isolated environment even when package is installed
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- **IRIS JSON Filtering** - Implemented LIKE-based pattern matching workaround for IRIS Community Edition
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- Handles both `"key":"value"` and `"key": "value"` JSON formats (with/without space)
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- Works around missing JSON_VALUE() and JSON_EXTRACT() SQL functions in Community Edition

pyproject.toml

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[project]
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name = "iris-vector-rag"
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version = "0.5.9"
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version = "0.5.10"
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description = "Production-ready, extensible RAG framework with native IRIS vector search - unified API for basic, CRAG, GraphRAG, and ColBERT pipelines with RAGAS and DSPy integration"
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readme = "README.md"
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license = {text = "MIT"}

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