Txtai-py

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4.0.0

🎈🎉🥳 We're excited to announce the release of txtai 4.0! 🥳🎉🎈

_Thank you to the growing txtai community. This couldn't be done without you. Please remember to ⭐ txtai if it has been helpful._

txtai 4.0 is a major release with a significant number of new features. This release adds content storage, querying with sql, object storage, reindexing, index compression, external vectors and more!

To quantify the changes, the code base increased by 50% with 36 resolved issues, by far the biggest release of txtai. These changes were designed to be fully backward compatible but keep in mind it is a new major release.

[What's new in txtai 4.0](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/24_Whats_new_in_txtai_4_0.ipynb) covers all the changes with detailed examples. The [documentation site](https://neuml.github.io/txtai) has also been refreshed.

New Features
--------------------------
- Store text content (168)
- Add option to index dictionaries of content (169)
- Add SQL support for generating combined embeddings + database queries (170)
- Add reindex method to embeddings (171)
- Add index archive support (172)
- Add close method to embeddings (173)
- Update API to work with embeddings + database search (176)
- Add content option to tabular pipeline (177)
- Update workflow example to support embeddings content (179)
- Add index metadata to embeddings config (180)
- Add object storage (183)
- Aggregate partial query results when clustering (184)
- Add function parameter to embeddings reindex (185)
- Add support for user defined column aliases (186)
- Use SQL bracket notation to support multi word and more complex JSON path expressions (187)
- Support SQLite 3.22+ (190)
- Add pre-computed vector support (192)
- Change document/object inserts to only keep latest record (193)
- Update documentation with 4.0 changes (196)

Improvements
--------------------------
- Modify workflow to select batches with slices (158)
- Add tensor support to workflows (159)
- Read YAML config if provided as a file path (162)
- Make adding pipelines to API easier (163)
- Process task actions concurrently (164)
- Add tensor workflow notebook (167)
- Update default ANN parameters (174)
- Require Python 3.7+ (175)
- Consistently name embeddings id fields (178)
- Add txtai __version__ attribute (181)
- Refresh notebooks for 4.0 (188)
- Modify embeddings to only iterate over input documents once (189)
- Improve efficiency of vector transformations (191)

Bug Fixes
--------------------------
- Add thread lock around API write calls (160)
- Expose caption and objects pipeline via API (161)
- Change pickle calls to use protocol supporting lowest Python version (182)
- HFOnnx expects ORT provider bug (195)

3.7.0

This release adds the following new features, improvements and bug fixes.

New Features
--------------------------
- Add object detection pipeline (148)
- Add image caption pipeline (149)
- Add retrieval task (150)
- Add no-op pipeline (152)
- Add new workflow functionality (155)

Improvements
--------------------------
- Add korean translation to README.md. Thank you 0206pdh! (138)
- Add links to external articles (139)
- Update example applications to be consistent (140)
- Add an article summarization example (144)
- Add fallback mode for textractor (145)
- Reorganize pipeline package (147)
- Update optional package tests to simulate missing packages (154)
- Add parameter to flatten labels output (153)
- Update documentation with latest changes (156)

Bug Fixes
--------------------------
- Fix bug with importing service task when workflow extra not installed (146)
- Fix inconsistencies with url based tasks (151)

3.6.0

This release adds the following new features, improvements and bug fixes.

New Features
--------------------------
- Add post workflow action to API (129)
- Add tabular pipeline (134)
- Enhance ServiceTask to support additional use cases (135)
- Add notebook for tabular pipeline (136)
- Add topn option to extractor pipeline (137)

Improvements
--------------------------
- Refactor registering new auto models to use methods in Transformers library (128)
- Update workflow example application (130)

Bug Fixes
--------------------------
- No issues this release

3.5.0

This release adds the following new features, improvements and bug fixes.

New Features
--------------------------
- Add scikit-learn to ONNX export pipeline (124)
- Add registry methods for auto models (126)
- Add notebook to demonstrate loading scikit-learn and PyTorch models (127)

Improvements
--------------------------
- Add parameter to return raw model outputs for labels pipeline (123)
- Add parameter to use standard pooling for TransformersVectors (125)

Bug Fixes
--------------------------
- Pass model configuration to ONNX Models (121)
- Fix incorrect import in Notebooks (122)

3.4.0

This release adds the following new features, improvements and bug fixes.

New Features
--------------------------
- Create notebook using extractive qa to build structured data (117)
- Modify extractor pipeline to support similarity pipeline backed context (119)

Improvements
--------------------------
- Improve performance of extractor context queries (120)

Bug Fixes
--------------------------
- Update labels pipeline to filter text classification output (116)
- Fix issues with Transformers 4.11.2 (118)

3.3.0

This release adds the following new features, improvements and bug fixes.

New Features
--------------------------
- Add ONNX export pipeline (107)
- Add notebook for ONNX pipeline (108)
- Add ONNX support for Embeddings and Pipelines (109)
- Support QA models in Trainer pipeline (111)
- Add notebook for training QA models (115 )

Improvements
--------------------------
- Remove deprecated packages (114)

Bug Fixes
--------------------------
- Fix issues with latest Transformers version (110)

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