Topic: rag Goto Github
Some thing interesting about rag
Some thing interesting about rag
rag,Text-To-Speech, RAG, and LLMs. All local!
User: alexpinel
Home Page: https://dotapp.uk/
rag,GPT-powered chat for documentation, chat with your documents
Organization: arc53
Home Page: https://app.docsgpt.cloud/
rag,Wren AI makes your database RAG-ready. Implement Text-to-SQL more accurately and securely.
Organization: canner
Home Page: https://getwren.ai
rag,Spising: ⚡️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,Langchain-Chatchat(原Langchain-ChatGLM, Qwen 与 Llama 等)基于 Langchain 与 ChatGLM 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
Organization: chatchat-space
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,:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Organization: deepset-ai
Home Page: https://haystack.deepset.ai
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,Memory for AI agents
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,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. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
Organization: khoj-ai
Home Page: https://khoj.dev
rag,Human Memory for AI Agents.
User: kingjulio8238
Home Page: https://www.memarylabs.com
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,Large Action Model framework to develop AI Web Agents
Organization: lavague-ai
Home Page: https://docs.lavague.ai/en/latest/
rag,🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Organization: mendableai
Home Page: https://firecrawl.dev
rag,RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
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,ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Organization: modelscope
Home Page: https://modelscope.cn/studios/agent
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,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,Dynamic RAG for enterprise. Ready to run with Docker,⚡in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Organization: pathwaycom
Home Page: https://pathway.com/developers/templates/
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, agents, and RAGs. Use LLM evals to improve your app's quality and catch problems. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
Organization: promptfoo
Home Page: https://www.promptfoo.dev/
rag,Open-source RAG Framework for building GenAI Second Brains 🧠 Build 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 ! Efficient retrieval augmented generation framework
Organization: quivrhq
Home Page: https://quivr.com
rag,Private & local AI personal knowledge management app.
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,The AI Agent Framework in .NET
Organization: scisharp
Home Page: https://botsharp.readthedocs.io
rag,Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
User: shubhamsaboo
Home Page: https://unwindai.substack.com
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 AI Connect: AI infrastructure software that powers your Search & Retrieval Augmented Generation (RAG) applications. Simplify and enhance your AI pipelines with seamless integration of large language models (LLMs) and data sources.
Organization: swirlai
Home Page: https://swirlaiconnect.com/
rag,The open source platform for AI-native application development.
Organization: taskingai
Home Page: https://www.tasking.ai
rag,RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Organization: truefoundry
Home Page: https://cognita.truefoundry.com
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 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择GPT3.5/GPT-4o/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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