Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

🧬🐍 Generative UI web application built with LangChain Python, AI SDK & Next.js

🧬 Generative UI web application built with LangChain.js, AI SDK & Next.js

Samples to build Generative AI applications with LangChain and Amazon Kendra

Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain

A RAG based Generative AI Attorney fed with Indian Penal Code data. Developed using Streamlit, LangChain and TogetherAI API.

This repo is for the Linkedin Learning course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications

Generative AI on Google Cloud with LangChain, Published by Packt

A comprehensive learning path and practical guide for Generative AI development with hands-on LangChain implementations and detailed notes.

Corporate Trainer and Consultant with 19+ years of experience specializing in Generative AI, LLMs, MLOps, LangChain, and enterprise AI enablement.

Generative AI for Semiconductor Design: Engineering Assistant built with Bedrock, Knowledge Bases and Langchain

Build a simple generative AI app with LangChain.js, Replicate, OpenAI, and Convex

This Streamlit application allows users to interact with their PostgreSQL database using natural language queries. Users can type questions in natural language, which the app translates into SQL queries executed against the database. The results are then displayed in the chat interface. Powered by Google Generative AI and LangChain's SQL agent tool

"Build Generative AI Apps with LangChain" is a repository that contains a comprehensive framework for building generative AI applications using LangChain, an innovative language modeling platform. This repository includes all the necessary code and documentation to help developers quickly build and deploy generative AI applications

Fit-O-Fine is a Real-time medical test report store and retrieve using Blockchain and MongoDB • Developed secure login system using web3.js, created a RESTful api using Express.js • Integrated Gemini pro model with chat system to find medical queries and realtime doctor availability in the locality using langchain.js, Google generative AI.

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This is a Generative AI bot fine tuned to become a Professional resume writer. It used Meta's LlaMA 2 LLM with langchain. System Prompt has been changed in order to change profile of AI.

Introduction to Automation with LangChain, Generative AI, and Python

The Generative-AI-Storybook project generates descriptions and images for a children's book. Using the LangChain library for natural language processing, it seamlessly integrates with services like OpenAI and Replicate to create and update content-rich pages. The generated images and descriptions are stored in a data model.

Legal Research Assistant streamlines legal research with LangChain, Neo4j, and Google Generative AI. It aids legal professionals in case law research, statute lookup, legal analysis, and document drafting, combining graph-based retrieval with natural language understanding for precise insights.

A AI chat made with Next.js and the AI SDK from Vercel using Hugging Face Inference for a simple chat, Open AI and Mistral for a Tool Calling and Generative UI chat and Pinecone as a vector store for a RAG chat using OpenAI and LangChain.

AI Agent simplifies the implementation and use of generative AI with LangChain.

📘 Metriqe AI Training Repository – A curated collection of hands-on course materials and code for Metriqe’s corporate training in Python and Generative AI. This repo includes examples and notebooks covering core Python, OpenAI chatbots, LangChain workflows with LangFlow, LangGraph multimodal agents, Google A2A & Anthropic MCP integrations.

Details the work done by team Daimyo for the IBM TechXchange Pre-Conference WatsonX Hackathon under the path "Build a generative AI application for a use case supporting productivity with IBM watsonx.ai, featuring IBM Granite." The project has been built majorly in Python using Langchain and the IBM WatsonX Granite models.

TAP is a project that revolutionizes advertising with personalized ads generated using Langchain, Generative AI, and personal data. It utilizes the GPT model for creating tailored ads and aims to enhance the user experience with image generation. Advanced technology and data analysis drive our delivery of a new level of personalized advertising.

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Generative AI projects with LangChain, OpenAI, HuggingFace, Streamlit and Gradio.

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An implementation of the Gemini Clone using Google Generative AI, built with LangChain and Next js.