vectordatabase

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.

Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch

A modern desktop application for exploring, managing, and analyzing vector databases

FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB

High-performance vector search for Browser, Node, and Edge

Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects

TinyVecDB is an ultra fast embedded vector database.

⚡️Lightning fast in-memory VectorDB written in rust🦀

⚡️ Transform AI/ML operations: Transparency, Control and Cost Optimization. ⚡️

Example application querying data in different ways

Elysium Knowledge Repository is an open source initiative to embed all of Humanity's multi-modal knowledge and wisdom.

PoPChoice - AI-Powered Movie Recommender A smart movie suggestion app using OpenAI embeddings and Supabase vector search. Answer a few questions and get personalized recommendations with posters. Built with TypeScript, OpenAI API, and TMDB integration. Perfect for movie nights with friends!

With ME_GPT, you can store your cherished memories in a local vector database and leverage them to give Chat GPT the extraordinary ability to clone your unique personality and knowledge.

This Repository collects my material about my course (Mastering Vector Databases for AI applicstions) by Eng/ Mohammed Agoor

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

photon_db is high performance vector database built using Rust with Python bindings

I just wanna build my own LLM with RAG

VectorCV is a React app w/ a Flask Back-end that allows you (recruiters) to enter your candidates' CV's and find out who are the best candidates for the job. This is all done through embeddings, vector databases and queries by GPT-3.5

The simple client of NautilusDB, a Clound-Native Vector Search Service