Topic: rag Goto Github
Some thing interesting about rag
Some thing interesting about rag
rag,The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
Organization: agenta-ai
Home Page: http://www.agenta.ai
rag,Standalone app for easy RAG with local LLM
User: alexpinel
Home Page: https://dotapp.uk/
rag,Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.
Organization: azure-samples
rag,⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, Grok, etc., chat bot demo: https://demo.casibase.com, admin UI demo: https://demo-admin.casibase.com
Organization: casibase
Home Page: https://casibase.org
rag,An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
Organization: codefuse-ai
rag,Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Organization: danswer-ai
Home Page: https://docs.danswer.dev/
rag,Interact with your SQL database, Natural Language to SQL using LLMs
Organization: dataherald
Home Page: https://dataherald.readthedocs.io/en/latest/
rag,All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Organization: devflowinc
Home Page: https://dashboard.trieve.ai
rag,Personalizing LLM Responses
Organization: embedchain
Home Page: https://docs.embedchain.ai
rag,AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Organization: eosphoros-ai
Home Page: https://docs.dbgpt.site
rag,Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
Organization: epsilla-cloud
Home Page: https://www.epsilla.com
rag,Open-source tool to visualise your RAG 🔮
User: gabrielchua
rag,The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Organization: infiniflow
Home Page: https://infiniflow.org
rag,RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Organization: infiniflow
Home Page: https://ragflow.io
rag,⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
Organization: intel
rag,HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
Organization: internlm
rag,Data processing with ML and LLM
Organization: katanaml
Home Page: https://katanaml.io
rag,Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
Organization: khoj-ai
Home Page: https://khoj.dev
rag,FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Organization: labring
Home Page: https://fastgpt.in
rag,Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Organization: langgenius
Home Page: https://dify.ai
rag,Harness LLMs with Multi-Agent Programming
Organization: langroid
Home Page: https://langroid.github.io/langroid/
rag,Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Organization: llmware-ai
Home Page: https://llmware-ai.github.io/llmware/
rag,🔥 Turn entire websites into LLM-ready markdown
Organization: mendableai
Home Page: https://firecrawl.dev
rag,Index and query any data using LLM and natural language, tracking sources and showing citations.
Organization: microsoft
Home Page: https://microsoft.github.io/kernel-memory
rag,The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Organization: mintplex-labs
Home Page: https://useanything.com
rag,An open-source, high-performance SQL vector database built on ClickHouse.
Organization: myscale
Home Page: https://myscale.com
rag,💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Organization: neuml
Home Page: https://neuml.github.io/txtai
rag,Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
Organization: neumtry
Home Page: https://neum.ai
rag,Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Organization: nvidia
Home Page: https://nvidia.github.io/GenerativeAIExamples/latest/index.html
rag,User-friendly WebUI for LLMs (Formerly Ollama WebUI)
Organization: open-webui
Home Page: https://openwebui.com
rag,LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.
Organization: pathwaycom
Home Page: https://pathway.com/developers/showcases/llm-app-pathway/
rag,An LLM-powered advanced RAG pipeline built from scratch
User: pchunduri6
rag,Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
Organization: pinecone-io
Home Page: https://www.pinecone.io/
rag,The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Organization: postgresml
Home Page: https://postgresml.org
rag,Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
Organization: promptfoo
Home Page: https://www.promptfoo.dev/
rag,Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Organization: qdrant
Home Page: https://qdrant.github.io/fastembed/
rag,Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.
Organization: quivrhq
Home Page: https://quivr.app
rag,Self-organizing AI note-taking app that runs models locally.
Organization: reorproject
Home Page: https://reorproject.org
rag,LlamaIndex is a data framework for your LLM applications
Organization: run-llama
Home Page: https://docs.llamaindex.ai
rag,Fractal Graph Desktop for Ai-Agents, Web-Browsing, Note-Taking, and Code.
User: satellitecomponent
Home Page: https://neurite.network/
rag,The AI Agent Framework in .NET
Organization: scisharp
Home Page: https://botsharp.readthedocs.io
rag,🥷 Run AI-agents with an API
Organization: superagent-ai
Home Page: https://docs.superagent.sh
rag,🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Organization: superduperdb
Home Page: https://superduperdb.com
rag,Swirl is open-source software that uses AI to simultaneously search multiple content and data sources, finds the best results using a reader LLM, then prompts Generative AI, enabling you to get answers from your own data.
Organization: swirlai
Home Page: https://swirl.today/
rag,The open source platform for AI-native application development.
Organization: taskingai
Home Page: https://www.tasking.ai
rag,🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Organization: vanna-ai
Home Page: https://vanna.ai/docs/
rag,Distributed vector search for AI-native applications
Organization: vearch
Home Page: https://vearch.github.io
rag,基于大模型搭建的聊天机器人,同时支持 企业微信、微信 公众号、飞书、钉钉 等接入,可选择GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/通义千问/Gemini/GLM-4/Claude/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
User: zhayujie
Home Page: https://docs.link-ai.tech/cow
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