langchain

The notebooks & projects code for Generative for Backend Dev online bootcamp

A complete roadmap to become an AI/LLM Engineer in 2026. Free & paid courses, 5 portfolio projects, interview prep, and resources. For software engineers with Python & ML basics who want to break into AI. Covers Transformers, RAG, fine-tuning, agents, LangChain, MLOps, and deployment.

Customer Conversational Intelligence Platform Powered by an LLM Agent

Create informative READMEs effortlessly using AI-driven templates with the README Creator powered by Language Model (LLM). Simplify documentation and enhance project communication.

PTIT's Major Project: Website Programming - This repo contains a chatbot for a clothing store. The chatbot acts as an employee with specific knowledge about clothing consultation, website support, and store information.

using mulimodal RAG to query texts, images and tables from pdf for QA

Multi-User Chatbot with Langchain and Pinecone in Next.JS

The Solidity Smart-Contract Advisor is a cutting-edge tool designed to extend the capabilities of traditional language models in understanding and advising on Solidity smart contracts

对标蚂蚁阿福的开源大健康 AI 助手，基于 LangGraph + FastAPI + React，支持多智能体、RAG、报告解读、拍照问药与链路评估。Open-source AI health assistant inspired by Ant Afu, with multi-agent routing, RAG, multimodal medical vision, tracing, and evals.

This repository houses a comprehensive React/Next roadmap for developers aspiring to master full-stack development with a focus on AI integration.

Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain

A simple yet powerful semantic AI search engine⚡️

AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM

Easily create semantic search based LLM applications

Multimodal document QA: vision + retrieval over PDFs (LLaVA + LlamaIndex)

LLM, Fine Tuning, Llama 2, Gemma, Mixtral, vLLM, LangChain, RAG, ChromaDB, FAISS

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.

A curated full-stack LLM engineering playbook — from AI infrastructure and model lifecycle to agents, MCP, memory, and evaluation.

In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.