421
[EMNLP 2025] Awesome RAG Reasoning Resources
- Stars
- 460
- Star gain
- +1
- Growth score
- 0.0022
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[EMNLP 2025] Awesome RAG Reasoning Resources
🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.
[CVPR 2025] EgoLife: Towards Egocentric Life Assistant
No description provided.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Python SDK for Milvus Vector Database
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
One-command installer for a self-hosted AI stack on your own server: n8n, Ollama, Open WebUI, OpenClaw, Dify, Flowise, Supabase, ComfyUI, Qdrant & 30+ tools. Docker Compose, automatic HTTPS via Caddy, built-in monitoring. Free Zapier/Make alternative.
ReachAI企业级智能体开发平台：快速、安全完成已有业务系统智能化改造，让 AI 在 OA、ERP、CRM 等原系统中查数据、填表单、办业务。ReachAI: Quickly and securely bring AI to existing enterprise systems, enabling AI to query data, fill out forms, and execute business tasks directly within OA, ERP, CRM, and other business applications.
Your entire engineering context, deeply understood
User Profile-Based Long-Term Memory for AI Chatbot Applications.
LlamaIndex is the document processing platform for AI
Parsing-free RAG supported by VLMs
A simple, fast and versatile Datalog database
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
The AI search platform
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.
Momentum Score compares the latest star count with a baseline for the selected window: ln((current stars + 1) / (baseline stars + 1)). Rankings include repositories with positive star gain.
Seven-day and thirty-day history may use estimates reconstructed from GitHub star creation history; estimated values are labeled. The twenty-four-hour ranking uses measured snapshots only.