Awesome LLM Eval alternatives for AI agents.

An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

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

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025]

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

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

Building blocks for rapid development of GenAI applications

🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

21 Lessons, Get Started Building with Generative AI

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

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

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

AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.