The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
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Updated
Nov 12, 2024 - JavaScript
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Text-To-Speech, RAG, and LLMs. All local!
WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.
Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
OriginTrail Decentralized Knowledge Graph network node
Setup and run a local LLM and Chatbot using consumer grade hardware.
The library for character-driven AI experiences.
Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Kubernetes operator for Qdrant
The ChatBotKit Node SDK offers a JavaScript-based platform for effortlessly building conversational AI bots and agents.
LambdaRAG is a Retrieval Augmented Generation Chat AI Demo. Please read the full RAGs to Riches blog series.
AnythingLLM Embed widget submodule for the main AnythingLLM application
Chat with your docs. The deployed link is not updated. Please setup project locally to find issues.
This application serves as a demonstration of the integration of langchain.js, Ollama, and ChromaDB to showcase question-answering capabilities. With a focus on Retrieval Augmented Generation (RAG), this app enables shows you how to build context-aware QA systems with the latest information.
The Odin Tabs extension is a browser extension that allows you to navigate through your browser tabs using speech recognition and the Large Language Model (LLM) of your choice.
This playbook teaches you how to compose Tableau's varied product capabilities into applications that thrill customers, coworkers and friends!
Add a description, image, and links to the rag topic page so that developers can more easily learn about it.
To associate your repository with the rag topic, visit your repo's landing page and select "manage topics."