Instant no code DATA API platform for relational databases. Connect any database, run anywhere. Power your GENAI application function/tools calls in seconds.

A GenAI Copilot for conversing with Neo4j Graph Databases

GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

Chat to your Database GenAI Chatbot

EvalBench is a flexible framework designed to measure the quality of generative AI (GenAI) workflows around database specific tasks.

Build AI Agents with Azure Database for PostgreSQL. Combine Azure Database for PostgreSQL with popular GenAI Frameworks to create intelligent AI agents.

Vanilla configurations for a RHOAI instance to deploy a GenAI POC. This will deploy a vector database (Milvus), a GenAI interface (AnythingLLM), a local MinIO s3 bucket, and other services needed for a GenAI POC on RHOAI.

Oracle Cloud Infrastructure operations plugin with intelligent agent skills for managing compute, networking, databases, monitoring, secrets, GenAI, IAM, and infrastructure as code

A practical, hands-on guide to build and deploy modern applications and GenAI solutions backed by AWS databases.

This is a database challenge created for DevRelSquad: The GenAI Meetup Mumbai.

A repository for demonstrating GitHub Copilot Agents

A tool for exploring relational databases using a large language model

Ask any question to your documents, PDFs, or SQL databases using GenAI for quick and accurate answers.

A growing collection of hands-on projects pushing the boundaries of GenAI: covering LLMs, agents, RAG variants, multimodal systems, and general generative models. Built to explore, test, and create at the edge of what’s possible.

Welcome to this exhaustive guide on tools for developing AI agents across five key domains: Fintech, Cybersecurity, Healthcare, Social Media, and Social Cause. Whether you're a no-code newbie or a seasoned coder, this README covers tools in Core Machine Learning (ML), Deep Learning (DL), (NLP), (GenAI), and Database Management Tasks

Fitlog is a GenAI-powered workout tracking application that allows users to log their routines, workouts, and sets. The app includes features like fuzzy search for routine and workout names, powered by Fuse.js, and integrates Prisma for database management. This is a MERN-stack application built using Next.js for server-side rendering.

Enterprise RAG Pipeline with Multi-Vector Database Support - GenAI Fellowship Project

GenAI LLM chatbot application using Redis as Vector database and Azure OpenAI

Milvus, Milvus Lite, Python, GenAI, LLM, Vector Database, Open Source

AI-Data processing project. Use genAI to get SQL databases process-mining-ready

No description available

No description available

A chatbot on Streamlit UI through which we can query a SQLite database in natural language to retrieve the required data.

Talk-to-MySQL-Database-using-GenAI is a Streamlit-based application that enables users to interact with MySQL databases using natural language queries, leveraging a Generative AI model to convert user questions into SQL queries and display the results.

Creating a customer care application involving a L1-query resolver automation chatbot/voicebot involving use of GenAI, Langchain v3.0, LLM API (Azure OpenAI), Sentiment Analysis , Text/Speech Conversion, Summarized Memory Prompts, Database and Logging, Threading and Interactive Frontend (HTML/CSS/JS) etc.

Natural language database query system for Pagila movie database using Google GenAI, LangChain, and Streamlit

Uses Spring AI advisors with Neo4j graph database for GenAI GraphRAG examples

When Your SME Ghost You: Using GenAI to Build a Database Documentation Agent

This project explores running modern GenAI workloads directly on mobile devices (iOS & Android) — including LLM inference, vector database search, and RAG — as a scalable alternative to centralized AI servers.