Topic: rag Goto Github
Some thing interesting about rag
Some thing interesting about rag
rag,GPT-powered chat for documentation, chat with your documents
Organization: arc53
Home Page: https://app.docsgpt.cloud/
rag,🚀 Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy! 🙌
Organization: canner
Home Page: https://www.getwren.ai/oss
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)基于 Langchain 与 ChatGLM, Qwen 与 Llama 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,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,🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Organization: decodingml
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,AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Organization: eosphoros-ai
Home Page: http://docs.dbgpt.cn
rag,Drag & drop UI to build your customized LLM flow
Organization: flowiseai
Home Page: https://flowiseai.com
rag,LLM Chain for answering questions from documents with citations
Organization: future-house
rag,The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
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,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,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,The memory layer for Personalized AI
Organization: mem0ai
Home Page: https://mem0.ai
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,The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Organization: mintplex-labs
Home Page: https://anythingllm.com
rag,ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Organization: modelscope
Home Page: https://modelscope-agent.readthedocs.io/en/latest/
rag,Neo4j graph construction from unstructured data using LLMs
Organization: neo4j-labs
Home Page: https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/
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
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,Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁,一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️
User: peterh0323
Home Page: https://openxlab.org.cn/apps/detail/HinGwenWong/Streamer-Sales
rag,Postgres with GPUs for ML/AI apps.
Organization: postgresml
Home Page: https://postgresml.org
rag,Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. 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 Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.
Organization: sciphi-ai
Home Page: https://r2r-docs.sciphi.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://www.theunwindai.com
rag,All-in-one AI CLI tool featuring Chat-REPL, Shell Assistant, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
User: sigoden
rag,🥷 Run AI-agents with an API
Organization: superagent-ai
Home Page: https://docs.superagent.sh
rag,Superduper: Bring AI to your database! Integrate AI models and workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.
Organization: superduper-io
Home Page: https://superduper.io
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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