v4.6.0

🎈🎉🥳 txtai turns 2 🎈🎉🥳

We're excited to release the 25th version of txtai marking it's 2 year anniversary. Thank you to the txtai community. Please remember to ⭐ txtai!

txtai 4.6 is a large but backwards compatible release! This release adds better integration between embeddings and workflows. It also adds a number of significant performance improvements and bug fixes.

New Features

• Add transform workflow action to application (#281)
• Add ability to resolve workflows within applications (#290)
• OFFSET in sql query statement (#293)
• Add webpage summary image generation notebook (#299)
• Add notebook on running txtai with native code (#304)
• Add mmap parameter to Faiss (#308)
• Add indexing guide to docs (#312)

Improvements

• Consume generator outputs in workflow tasks (#291)
• Update pipeline workflow notebook (#292)
• Update tabular notebook (#297)
• Lower required version of Pillow library to prevent unnecessary upgrades (#303)
• Embeddings vector batch improvements (#309)
• Use single constant for current pickle protocol (#310)
• Move quantize config param to Faiss (#311)
• Update documentation with new demo and diagrams (#313)
• Improve embeddings performance with large query limits (#318)

Bug Fixes

• ModuleNotFoundError: No module named 'transformers.hf_api' (#274)
• Dependency issue with ONNX and Protobuf (#285)
• The key should be writable instead of path. Thank you to @csnelsonchu! (#287)
• Fix breaking change in build script from mkdocstrings bug (#289)
• Index id sync issue when inserting multiple data types (text, documents, objects) into Embeddings (#294)
• Labels pipeline outputs changed with transformers 4.20.0 (#295)
• Tabular pipeline throws error when processing list fields (#296)
• txtai load testing (#305)
• Add cloud config to application.upsert method (#306)