Private & local AI personal knowledge management app.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

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

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

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.

A serverless embedded streaming OLAP data pipeline

Generative AI projects using openAI, llama, langchain, vectordb

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

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

Projects Implemented for the Udacity Generative AI Engineer Nanodegree Program