The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
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Updated
Jun 18, 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
Examples of my tutorial on how to use Neo4j for empowering AI RAG systems
Kubernetes operator for Qdrant
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
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.
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 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.
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.
Helper package to spin-up a Qdrant instance without Docker
AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.
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)
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.
FlipDrip AI, your personalized fashion destination! Discover the latest trends tailored just for you.
Document based RAG QnA Chatbot Application
This repository contains the implementation of a media search application using Google Cloud Spanner and Vertex AI for generating and searching embeddings.
Node Proxima converts your repo into embeddings using OpenAI.
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."