This release adds LEMUR learned multi-vector retrieval, expands late-interaction retrieval capabilities, and includes improvements to MUVERA and pooling along with a number of bug fixes. See below for full details on the new features, improvements and bug fixes. New Features Add LEMUR: Learned Multi-Vector Retrieval (#1024, #1164, #1169, #1170, #1171, #1172, #1190, #1194, #1196) @morgan-coded Add…
This release adds support for new ANN backends along with a bonanza of bug fixes from 7 new contributors! See below for full details on the new features, improvements and bug fixes. New Features Feature request: Support zvec as vector backend (#1040, #1130) @morgan-coded Add milvus-lite embedded dense ANN backend (#1149) @morgan-coded Allow disabling API routes (#1165) Improvements Add tokenbatch…
This release adds support for the turbovec ANN backend and LiteParse text extraction See below for full details on the new features, improvements and bug fixes. New Features Add turbovec an ANN backend (#1109) Add text extraction with LiteParse (#1118) Improvements Migrate from ggml-py to ggml-python (#1105) Revert noisy logging workaround when fixed upstream (#1106) Add reindex parameter for API…
This release adds LiteRT vector support and Knowledge Distillation training See below for full details on the new features, improvements and bug fixes. New Features Add support for LiteRT vectors (#1097) Add URLRetrieve pipeline (#1100) Add a Knowledge Distillation Trainer (#1103) Add a Progressive Distillation Example Notebook (#1104) Improvements Reduce noisy logging messages with Transformers v…
This release adds a zero dependency minimal install, LiteRT and Transformers v5 support See below for full details on the new features, improvements and bug fixes. New Features Zero dependency minimal install (#1089, #1090, #1091, #1092, #1093, #1094) Transformers v5 Support (#1083, #1084, #1085, #1086, #1087, #1088) Add LiteRT-LM LLM (#1095)
This release is primarily a bug fix, security and compatibility release. See below for full details on the new features, improvements and bug fixes. New Features Add support for last token pooling (#1072) Add support for streaming Labels pipeline (#1075) Add safeopen parameter for Textractor (#1077) Improvements Support Authorization tokens with MCP endpoints (#899) Update embeddings documentation…
This release adds the new TxtAI Coding Agent Toolkit See below for full details on the new features, improvements and bug fixes. New Features Add coding agent toolkit (#1054, #1055, #1056, #1057, #1058, #1059, #1060, #1061) Add agent tools example notebook (#1062) Improvements Apply sigmoid to fused BB25 scores (#1053) Bug Fixes Fix translation chunk concatenation when showmodels is enabled (#1052…
This release adds many great new Embeddings database features: BB25 normalization, ngram tokenization, database expression indexes and conditional JSON data storage See below for full details on the new features, improvements and bug fixes. New Features Add Bayesian normalization "bb25" method for keyword scoring (#1023, #1037, Thank you @sigridjineth) Add BB25 normalization for sparse encoders (#…
TxtAI got skills! This release adds a lot of great new agent capabilities: agents.md, skill.md and memory See below for full details on the new features, improvements and bug fixes. New Features Add support for agents.md (#1014) Add support for skill.md (#1015) Add support for Agent memory (#1016) Add ability to store agent memory by session (#1025) Add example demonstrating how to use agents.md f…
This release adds the following new features, improvements and bug fixes. Note that the Docker build will not be updated since it installs all packages by default; Bug Fixes httpx import at module level causes ModuleNotFoundError for Embeddings-only usage (#1012) Add minimal build workflow (#1013)
Adds OpenCode integration, improved instruction prompts support for vectors, additional keyword tokenization methods and more See below for full details on the new features, improvements and bug fixes. New Features Add OpenCode LLM (#1010) Add additional tokenization methods for keyword search (#1006) Add example notebook covering OpenCode LLM (#1011) Add example notebook showing how to finetune L…
Expands RAG to any function, new quickstart examples and many improvements See below for full details on the new features, improvements and bug fixes. New Features Add support for any callable search function in RAG pipeline (#1000) Add notebook covering any search method with the RAG Pipeline (#1002) Add RAG Quickstart Example (#991) Add Agent Quickstart Example (#992) Add Workflow Quickstart Exa…