Private & local AI personal knowledge management app.

The only Vector tooling you'll need. Star the repo and look out for an email to try out a brand new Vector Data Exploration demo! Use the universal VDF format for vector datasets to easily export and import data from all vector databases, and re-embed it using any model

Firebase for AI Agents: Open-source backend platform that puts powerful generative models at the core of your database. With managed memory and RAG capabilities, developers can easily build AI agents, enhance their apps with generative tables, and create magical UI experiences.

Vector search over tweets from the tweet archive using OpenAI embeddings and LanceDB

A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.

Benchmark study on LanceDB, an embedded vector DB, for full-text search and vector search

A simulation experiment based on X interactions

🌎 your personalized AI-trip planner

The missing index for the Heritage Foundation's Project 2025

Generative AI projects using openAI, llama, langchain, vectordb

A serverless embedded streaming OLAP data pipeline

An implementation of Retrieval-Augmented Generation (RAG) indexing using Rust and LanceDB. It leverages the power of Rust for efficient and safe performance, combined with LanceDB for advanced indexing capabilities.

An embedded streaming OLAP data pipeline with LanceDB

FUSE - Full Stack Software Engine - an AI-drive tool to generate working, live web applications

LanceDB Benchmark

🤖 Next.js AI Chatbot - Chat with any website

Intelligently Understanding Your Screenshots

Serverless multilingual semantic search based on LanceDB

Projects Implemented for the Udacity Generative AI Engineer Nanodegree Program

Experimenting with retrieval augmented generation (RAG) with the LangChain framework to identify tablets/capsules by their text description