RAG
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
A naive implementation of GraphRAG for Movie Recommendation on IMDB Top 1000 movies dataset.
Code for Husky, an open-source language agent that solves complex, multi-step reasoning tasks. Husky v1 addresses numerical, tabular and knowledge-based reasoning tasks.
A simple, easy-to-hack GraphRAG implementation
Websearch agent built on the LangGraph framework
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Empowering RAG with a memory-based data interface for all-purpose applications!
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constr…
A system for agentic LLM-powered data processing and ETL
Versatile agents for long running, research intensive tasks.
[EMNLP 2024] LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.