[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
Updated 2025-09-16 23:52:01 +03:00
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Updated 2025-08-20 18:59:53 +03:00
"RAG-Anything: All-in-One RAG System"
Updated 2025-08-09 13:53:04 +03:00
"MiniRAG: Making RAG Simpler with Small and Free Language Models"
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"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"
Updated 2025-05-11 03:54:36 +03:00
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
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A modular graph-based Retrieval-Augmented Generation (RAG) system
Updated 2025-03-11 01:26:14 +03:00
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Updated 2024-09-22 17:49:52 +03:00
Build and query dynamic, temporally-aware Knowledge Graphs
Updated 2024-09-08 19:13:11 +03:00
Neo4j graph construction from unstructured data using LLMs
Updated 2024-08-30 16:31:54 +03:00
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
Updated 2024-02-27 23:27:24 +03:00