Releases: superlinear-ai/raglite
Releases · superlinear-ai/raglite
v0.4.0
What's Changed
- feat: improve late chunking and optimize pgvector settings by @lsorber in #51
- Add a workaround for #24 to increase the embedder's context size from 512 to a user-definable size.
- Increase the default embedder context size to 1024 tokens (more degrades bge-m3's performance).
- Upgrade llama-cpp-python to the latest version.
- More robust testing of rerankers with Kendall's rank correlation coefficient.
- Optimise pgvector's settings.
- Offer better control of oversampling in hybrid and vector search.
- Upgrade to the PostgreSQL 17.
Full Changelog: v0.3.0...v0.4.0
v0.3.0
v0.2.1
What's Changed
- fix: add fallbacks for model info by @undo76 in #44
- fix: improve unpacking of keyword search results by @lsorber in #46
- fix: upgrade rerankers and remove flashrank patch by @lsorber in #47
- fix: improve structured output extraction and query adapter updates by @emilradix in #34
New Contributors
- @undo76 made their first contribution in #44
- @emilradix made their first contribution in #34
Full Changelog: v0.2.0...v0.2.1
v0.2.0
v0.1.4
v0.1.3
v0.1.2
v0.1.1
v0.1.0
What's Changed
- feat: implement basic features by @lsorber in #2
- feat: simplify document insertion by @lsorber in #6
- feat: optimize config for CPU and GPU by @lsorber in #7
- fix: improve indexing of multiple documents by @lsorber in #8
- feat: improve exception feedback for extraction by @lsorber in #9
- feat: automatically adjust number of RAG contexts by @lsorber in #10
- fix: lazily import optional dependencies by @lsorber in #11
- feat: infer missing font sizes by @lsorber in #12
- feat: add evaluation by @lsorber in #14
- feat: upgrade default CPU model to Phi-3.5-mini by @lsorber in #15
- feat: make query adapter minimally invasive by @lsorber in #16
- feat: add PostgreSQL support by @lsorber in #18
- feat: add LiteLLM and late chunking by @lsorber in #19
- feat: add reranking by @lsorber in #20
Full Changelog: https://github.com/superlinear-ai/raglite/commits/v0.1.0