HelixDB is an open-source graph-vector database built from scratch in Rust.

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

Comparing LanceDB and Elasticsearch for full-text search and vector search performance

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)

Ziglang eXtensiable Builder for SQL or JSON, zig version, sql or json query builder, extensible custom for any database, for any orm framework

Agent-readable second brain using PostgreSQL + pgvector for semantic search and memory storage.

Q&A agent with sessions, persistence, and knowledge-based answers

[λ] Eigen - the platform to search your documents without limits

The missing developer tool for working with vector databases. A comprehensive desktop app for visualizing, querying, and managing vector data.

A web site crawler for semantic search.

A RAG assistant using Ollama (Mistral), Qdrant vector DB, and Streamlit UI. Upload documents, scrape web pages, and interact with your data using real-time, session-isolated chat.

AI- & vector database-powered Quora question search

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

Dhruva.ai - Your guiding star in the academic universe. A multilingual campus chatbot that answers student queries anytime, anywhere.

Identify mountain peaks in your photos using AI—zero-shot retrieval, landmark re-ranking, and geospatial priors.

In this project, I made a resume scoring system. And it not only scores candidates based on Job Description & Resume but it can also have user profiles and their personal hiring preferences. So a particular user can filter Resume in bulk according to their personal preference. It also learns user preferences with time and evolves for each user.

Comparative study evaluating performances of Milvus Vector-based RAG vs Neo4j Graph-based RAG systems for Enterprise Knowledge Retrieval

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

Add semantic search capabilities to the Redmine Search Function.

🚀 An intelligent, LLM-enhanced log parser pipeline that converts multi-format raw logs into structured JSON, learns from missed patterns, and evolves using Drain3 & open-source LLMs.