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Awesome List
A curated list of awesome LLM frameworks, libraries and software.
GitHub stars and default-branch commits for uhub/awesome-llm.
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Retrieval and Retrieval-augmented LLMs
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Postgres with GPUs for ML/AI apps.
Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.
AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.
A blazing fast inference solution for text embeddings models
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Open-source inference server and production cluster for all the models your agent needs.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
GPT-vup BIliBili | 抖音 | AI | 虚拟主播
A high performance Vector Database leveraging parallel graph computing
🪿 LinGoose is a Go framework for building awesome AI/LLM applications.
A NodeJS RAG framework to easily work with LLMs and embeddings
A dead-simple API to build LLM-powered apps
Mercury - Train your own custom GPT. Chat with any file, or website.
Quickly and easily build AI website or application by using embeddings!
A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service
Text2Text Language Modeling Toolkit