ekimetrics/adaptive-chunking
▲ +2 ★ this week
Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.
A package for parsing PDFs and analyzing their content using LLMs.
$ git clone https://github.com/lazyFrogLOL/llmdocparser.git▲ +2 ★ this week
Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.
A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Research project on bilingual Urdu-English retrieval-augmented generation for Pakistani government and legal documents, with OCR, hybrid retrieval, citation grounding, and evaluation.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
Data from GitHub · snapshot Nov 13, 2026