v8.3.0

This release adds support for GLiNER, Chonkie, Kokoro TTS and Static Vectors

See below for full details on the new features, improvements and bug fixes.

New Features

• Add support for GLiNER models (#862) Thank you @urchade
• Add semantic chunking pipeline (#812) Thank you @bhavnicksm
• Add Kokoro TTS support to TextToSpeech pipeline (#854) Thank you @hexgrad
• Add staticvectors inference (#859)
• Add example notebook for Entity Extraction with GLiNER (#873)
• Add example notebook for RAG Chunking (#874)
• Add notebook that analyzes NeuML LinkedIn posts (#851)

Improvements

• Add new methods for audio signal processing (#855)
• Remove fasttext dependency (#857)
• Remove WordVectors.build method (#858)
• Detect graph queries and route to graph index (#865)
• Replace python-louvain library with networkx equivalent (#867)
• Word vector model improvements (#868)
• Improve parsing of table text in HTML to Markdown pipeline (#872)

Bug Fixes

• Update build script to workaround breaking change with latest version of Transformers and Python 3.9 (#852)
• Incorrect Endpoint Description in Swagger UI (FastAPI) (#860)
• Handle empty token list with word vectorization (#861)