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.

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

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.

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

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

Search by Image using similarity search on image vectors.

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

RAG supported Chat API using Ollama LLM

A book-inspired social platform where people are Books and posts are Chapters. It prioritizes intentional writing, slow discovery, and humane design over feeds and virality. Powered by Muse AI, a gentle creative companion that helps users write, reflect, and shape their work without taking over their voice.

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.

Agentic RAG–powered assistant built with LangGraph that answers user queries from a knowledge base and guides users to create, update, or cancel Google Meet calls, managing availability and sending meeting links via email.

Creating LLM Agent using Spring-ai

LangChain abstractions backed by YugabyteDB Distributed SQL Backend

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.

DEMO using griptape package to build an agent to interact with model garden on GCP using public API.

Monocle is a multi-modal embedding service designed for easy integration into modern applications. It provides HTTP API endpoints for generating text and image embeddings using state-of-the-art models. Monocle is ideal for semantic search, recommendation, and AI-powered content understanding.

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.

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.

AI-powered job search platform with real-time preference filtering.