The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
-
Updated
Dec 23, 2025 - JavaScript
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Private & local AI personal knowledge management app for high entropy people.
EntityDB is an in-browser vector database wrapping indexedDB and Transformers.js over WebAssembly
Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.
The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.
Examples of my tutorial on how to use Neo4j for empowering AI RAG systems
YiShape Vector Database is a specialized vector database management system and application assistance system for new artificial intelligence applications such as large language models, natural language processing, and image retrieval.
Kubernetes operator for Qdrant
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Embed anything.
Our powerful image search engine uses vector databases to store and search for similar images. Upload your images and use an input image to quickly identify the closest matches. With our app, you can easily organize and search your image collection with speed and accuracy. Try it today!
A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline.
Free, open-source collection of latest public API documentations - Update LLM's knowledge base with the latest API doc, policies, and community resources for enhanced context awareness (Note: The website is just a demonstration of what is possible with this open-source project. yet)
Helper package to spin-up a Qdrant instance without Docker
A Node.js RESTful server for a Retrieval-Augmented Generation (RAG) system using ChromaDB and Ollama!
A repository of curated use cases, articles, blogs, videos on how companies are using Artificial Intelligence and Machine Learning.
AI Search engine
Build an AI Driven Portfolio App with NextJS and Tailwind CSS. We will learn advance AI Technologies like vector embedding and vector databases along with how to work with Open AI's APIs. This is an amazing project to impress recruiters a lot and showcase your skillset.
AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.
PDFGenie 📄🧞♂️ – Ask questions from your PDFs using AI! Generate embeddings with Gemini ✨, fetch content with GROQ 📚, and search fast via Pinecone ⚡. Your PDF, your answers! 🧠💬
Add a description, image, and links to the vector-database topic page so that developers can more easily learn about it.
To associate your repository with the vector-database topic, visit your repo's landing page and select "manage topics."