SYS RAGLite是一个用于使用DuckDB或PostgreSQL的检索增强生成(RAG)的Python工具包
late-chunking 开源项目推荐(8 个)
late-chunking 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 8
GitHub 共 8 个仓库,已全部展示AI-powered automation system that transforms natural language requirements into production-ready Kubernetes manifests through three specialized CrewAI agents. System is able to execute manifest creation and editing, knowledge retrieval using RAG with late chunking, web search, and static and runtime validation of the configuration files.
Sentence-aware embeddings using late chunking with transformers.
This demo measures late chunking against standard embedding on two corpora — one where it hurts and one where it helps — producing concrete retrieval numbers that engineers can use to make an informed choice.
An experiment with VectorDB and Semantic Search, in Obsidian
A small, focused library for splitting Markdown documents into semantically coherent chunks for retrieval-augmented generation.
Advanced High-Fidelity RAG pipeline featuring Agentic Hierarchy Parsing for structural correction and Context-Sensitive Late Chunking for preserving document context.
Rigorous evaluation of contextual retrieval techniques on FinanceBench: comparing 5 embedders × 4 chunking strategies with bootstrapped confidence intervals on FinMTEB and FinanceBench.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 8 个项目;原始页面见 https://github.com/topics/late-chunking。
- 该话题在 GitHub 上共有 8 个仓库, 本站收录的是其中最热门的 8 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 8 个项目累计 1219 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。