LambdaRAG is a Retrieval Augmented Generation Chat AI Demo. Please read the full RAGs to Riches blog series.

Doc-Dojo: Your Document-Learning Assistant

A Web app stack written in FastAPI, Qdrant, and React for creating AI projects

A simple search engine fully build on javascript.

LangChainJob uses RAG to generate a Job Search Report pdf file with contact date, employer name, job title, and contact information from Gmail and the Serp API using a chosen week. It is also possible to manually add the job information.

Librarian is a RAG-assisted LLM application that allows any user to query their own documents at large scale and low cost.

This project aims to provide a javascript based, locally run, Gemini model which takes in PDFs as input context and retrieve the context for a user query.

Conversational search tool for exploring documents using an advanced language model and semantic representation.

UI for RagEval https://github.com/sundi133/rag-eval

An audio journaling app that provides AI analysis for your journal entries

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.

Build your own RAG chatbot with Upstash

Playing with Generative AI

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.

Kubernetes operator for Qdrant

Using USearch vector-search engine for RAG with LangChain

Welcome to Virtuatlas 🚌, a responsive mobility app designed to make transportation in unfamiliar urban areas a breeze! With a user-friendly interface, real-time analytics, and multi-lingual support, our app ensures a comfortable journey for every traveler. Scan the surroundings, chat via text, voice, or images. Includes RAG-ML Environment.

Drag and drop file up/download on AWS

Helix.ml / tryhelix.ai CloudFlare Worker Starter Code

AWS AI ChatBot streaming demo implementation using NodeJS, AWS Bedrock, Lambda and DocumentDB