A complete, driver based RAG pipeline for Laravel with pgvector & sqlite-vec, streaming, agentic retrieval, hybrid search, evals, MCP server, Filament admin.

A fully-featured, Laravel Eloquent-style ORM for Node.js & TypeScript. If you know Eloquent, you already know IlanaORM — same API, same patterns, same conventions. MySQL, PostgreSQL, SQLite, Supabase, edge runtimes, and pgvector AI search out of the box

SoulCare is a mental health app using NLP to analyze social media sentiment, track symptoms, and offer AI-driven support with personalized reports, document uploads, and symptom-based prioritization.

U-PG-RAG, a campus Q&A backend system, is built on PostgreSQL (PG).U-PG-RAG是一个基于postgresql(PG)构建的校园问答后端系统

This project demonstrates how to implement a hybrid search engine for Retrieval-Augmented Generation (RAG) using Postgres with PgVector. It showcases the use of asynchronous streaming with Groq's function calling capabilities in a FastAPI application.

A starting point for building custom agentic LLM applications using Open Source tooling and models. Incorporates Ollama, Open WebUI, Langchain, Streamlit, Chroma, & PGVector using Docker and Docker Compose and optionally Codespaces.

一个包含pg-vector + pg-age（图数据库）+ PostGIS的一体式pg docker镜像

Production grade postgres docker containers

LangChain abstractions backed by YugabyteDB Distributed SQL Backend

Git Your Code implements a cutting-edge Retrieval-Augmented Generation (RAG) architecture designed for deep semantic analysis of GitHub repositories. The system leverages vector embeddings, natural language processing, and machine learning to provide intelligent code comprehension and query capabilities.

RagWiser is a Retrieval Augmented Generation (RAG) system built with Spring Boot that enables users to upload PDF documents, process them, and ask questions about their content using natural language.

AI-powered e-commerce platform featuring semantic product search, personalized recommendations, user behavior tracking, and next-purchase prediction.

Production-ready NestJS template with Model Context Protocol (MCP) server, RAG pipeline, pgvector semantic search, Better Auth, and comprehensive developer tooling. Docker-ready with REST/GraphQL/WebSocket APIs.

joinai-customer-support: An AI-powered customer support platform built with Next.js, offering intelligent conversational AI, personalized responses, and task automation for seamless user interactions.

An AI-powered chatbot providing accurate Islamic finance information to Muslims and organizations.

End-to-end batch and streaming data pipeline on AWS to process user ratings and activity data. Leverages Amazon RDS, Glue, S3, Kinesis, and PostgreSQL with pgvector for real-time recommendation generation and model training.

The modern web development landscape is plagued by a peculiar paradox: despite the abundance of UI components and design systems, developers still spend countless hours reimplementing similar interfaces. S0 addresses this challenge by introducing a novel approach that combines advanced vector search capabilities.

Build a Laravel RAG pipeline for retrieval-augmented generation with driver-based vector stores and Prism PHP support

Spring Boot application that uses Spring AI implementing RAG (Retrieval-Augmented Generation) to help users understand and query documents. For this prototype I used the constitution of The Republic of Ireland, but any collection of documents can be used to achieve the state-of-the-art RAG in Java.