Restai alternatives for AI agents.

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Collect, organize, use, and share, all in OmniBox.

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

Retrieval and Retrieval-augmented LLMs

[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.