AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.

A lodging recommendation service for properties in San Francisco, powered by OpenAI and the PostgreSQL pgvector extension.

NutritionAI is an AI-driven application that allows users to upload meal images for nutritional analysis. It provides personalized dietary recommendations based on user profiles and food item embeddings.

SpecMem - TRUE Semantic Memory for Claude Code - Runs locally - Remembers your code base - Per-project isolation, semantic search, team coordination. https://justcalljon.pro

Metal Gear Solid codec calls Chrome extension , with realtime AI & local vector DB

🧠 The First Brain for OpenClaw — Persistent vector memory for AI agents. PostgreSQL + pgvector + OpenAI embeddings. One brain, every agent, shared intelligence.

Easily batch create vectors with OpenAI

The Image Search Engine is a modern AI-powered web application leveraging Retrieval-Augmented Generation (RAG) to combine large language models (LLMs) with advanced image retrieval techniques.

Prisma extension to support PGVector

A mindfulness journaling app, using NLP to help users track their emotions

VLib is a digital library platform targeting college library systems that utilises a vector database for discovering required resources and thereby making information accessible to all users irrespective of their knowledge level. It overcomes the incapability of present systems to handle descriptive queries thereby limiting information access.

Hia (Health Insights Agent) - AI Agent to analyze blood reports and provide detailed health insights.

PostgreSQL Primary-Replica Servers (with Pgvector Extension) on Docker

Hybrid medical RAG chat assistant using Neo4j knowledge graph and pgvector semantic search, powered by Groq LLM's and HuggingFace embeddings.

ErBlogX: An AI-powered sematic search pipeline to search and chat with engineering blogs/articles/transcripts. Built with Next.js, FastAPI, Supabase/pgvector, and sentence-transformers (all-mpnet-base-v2 ) embeddings.

The Memory Layer for AI Applications. Moves RAG intelligence (RRF, MMR, PII Shield, Semantic Cache) into the storage layer. Polyglot, token-aware, and cost-optimized.

🎓 Academia.AI is an AI-powered learning platform that transforms academic PDFs into interactive chats, adaptive courses, and podcast-style audio using Retrieval-Augmented Generation (RAG). Built with React (Vite), FastAPI, Google Gemini 1.5, Supabase (Auth + pgvector), and Tailwind CSS.

NodeRed Nodes for interacting with pgvector from Postgresql

A privacy-first, 100% local RAG application to chat with your personal documents. Built with React, Node.js, PostgreSQL (pgvector), and Ollama.