vector-db

HelixDB is a database built from scratch to be the backend for any AI application.

Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

Open-source framework to make AI agents' team collaboration as effective as human collaboration.

Swift Vector Database. On-device, local vector database for building the next-generation of user experiences

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.

YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Marques Brownlee (@ MKBHD) ⚡️🔴🤖💬

MovieGPT: A RAG, Gen AI application for Movie Recommendations

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

Slides for "Retrieval Augmented Generation" video

Unstract's interface to LLMs, Embeddings and VectorDBs.

ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk

A fully client-side chat application with AI capabilities running entirely in your browser. No servers, complete privacy, and persistent storage.

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)

A web site crawler for semantic search.

AI- & vector database-powered Quora question search

Automation of Prioritization and Categorization of Support Tickets Using LLMs and Vector DBs

A proof-of-concept of retrieval-augmented generation, using Google's PaLM API.

Pinecone Vector DB

Kotlin microservice for managing agents, configurations, and tools. Integrates with AI systems like OpenAI and Amazon Bedrock. Uses PostgreSQL and supports agent retrieval by ID or similarity (via Vector DB).