The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
-
Updated
Dec 9, 2023 - TypeScript
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Open AI's Responses API (File Search) Full AI Chat Agent - Clone Yourself Chatbot
Learnability Backend API
🚀 AI-Powered CRM with Intelligent Sales Assistant
AI-powered educational platform featuring custom chatbots for personalized learning experiences. Built with Next.js, Prisma, and LangChain.
📄 Upload PDFs and chat with AI for instant insights, all through a sleek, user-friendly interface that works on any device.
AI-powered healthcare provider validation system using multi-agent architecture with LangGraph, Mistral AI, and vector embeddings for automated NPI verification and trust scoring
AI-powered editorial platform designed to streamline content creation and management. Using advanced AI models like Anthropic's Claude and Sonnet SDK, it automates the rewriting of articles and enhances the editing process. The platform supports user roles like reporters, editors, and admins, providing tools to manage content.
Perform semantic search Markdown documents
Documentation Augmented Generation (DAG) MCP Server - First multi-ecosystem, version-aware MCP server to reduce AI code hallucinations
An example project demonstrating how to use SQLite-Vec for a simple GraphRAG system
A simple and efficient product filtering system, experiencing the latest technologies, streamlines your search effortlessly.
AI Powered Email client
DocIntellect is the ultimate PDF productivity companion, designed to help you extract the essence of your documents in minutes, not hours. Time to say goodbye to information overload and hello to streamlined studying only with DocIntellect
LLM application which utilises cutting edge libraries such as langchain to generate responses for businesses looking to know more about the different SG policies that can support them. Uses Retrieval Augmented Generation with vector database.
This web application allows users to interact with a chatbot that can answer questions about any website. Simply enter the URL of the site you’re interested in, and the chatbot will provide insights and answer questions related to the content of that site.
A full-stack, multimodal Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents and engage in a real-time, conversational Q&A. The backend, built with FastAPI, handles PDF parsing, advanced semantic chunking, and a dual-strategy (semantic + keyword) retrieval from a ChromaDB vector store. The frontend is a modern
Document Summerizer using Gemini API
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."