IntelLabs/RAG-FiT
Framework for enhancing LLMs for RAG tasks using fine-tuning.
Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.
$ git clone https://github.com/ekimetrics/adaptive-chunking.gitFramework for enhancing LLMs for RAG tasks using fine-tuning.
๐ฅ Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ๐ฅ. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
๐ Sycamore is an LLM-powered search and analytics platform for unstructured data.
(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Data from GitHub ยท snapshot Sep 24, 2026