llama-index

Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Python toolkit for building graph-enhanced GenAI applications

A CLI tool for threat modeling and visualizing AI agents built using popular frameworks like LangGraph, AutoGen, CrewAI, and more.

smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.

Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.

FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.

ChatGPT for lecture slides

🤖 DocsMind allows you to chat with your docs and summarize your docs, support pdf, md.

An End to End GenAI Framework

Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for running various model

Backend for SlideSpeak. Create PowerPoints with AI. Get summaries, ask questions, create presentations and more.

Awesome LLM application repo

The AI runtime that turns your framework functions into OpenAI compatible endpoints

Production-grade multimodal RAG for financial document intelligence. Chart understanding · hybrid retrieval · numeric guardrails · multi-tenancy · full observability.

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.

This is an AI agent playground to demonstrate different agent orchestration patterns and capabilities

Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).

Open Source Agentic AI Projects! 🤖 This repository is dedicated to learning and developing Agentic AI systems.