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

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

Production grade postgres docker containers

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.

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.

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.

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.

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.

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.

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

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.

LangChain abstractions backed by YugabyteDB Distributed SQL Backend

Agentic RAG app built with LangGraph that uses vector DBs and APIs to answer complex queries by retrieving and combining data from multiple sources.

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.

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