sinanuozdemir/oreilly-retrieval-augmented-gen-ai
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
$ git clone https://github.com/PrithivirajDamodaran/FlashRank.gitSee how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
YouTube Full Text Search - Search all of YouTube from the command line
The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
A cutting-edge search engine project tailored specifically for the AI product
Data from GitHub ยท snapshot Sep 24, 2026