LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain

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.

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js

Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain

Build a generative AI application using LangChain.js, from local to Azure

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

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.

This repo documents my complete learning journey in Generative AI and LangChain, covering everything from foundational concepts to building end-to-end AI Agents using the CampusX GenAI 2025 Series.

This repository implements a question answering system that retrieves information from uploaded PDFs using Google Generative AI and LangChain. Ask questions about the document's content and get detailed, context-aware answers.

Some code examples using LangChain to develop generative AI-based apps

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.

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.

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.

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.

A Generative AI solution using the LangChain framework and a Large Language Model to automate tasks pertaining to Data Analysis, Data Science, Database Querying and Retrieval-Augmented Generation.

Generative AI projects using openAI, llama, langchain, vectordb

Starter project for building Generative AI backends using Langchain, Express and Typescript

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

A playbook and Colab-based demo for helping engineering teams adopt Generative AI. Includes a working RAG pipeline using LangChain + Chroma, OpenAI GPT-4o embeddings, prompt engineering best practices, and automated LLM evaluations with Ragas.

Course Generative AI with LLM in Python that consists of of Jupyter notebooks demonstrating the use of LlamaIndex, LangChain, Ollama, and the Transformers library for building generative AI applications use cases in Python.

Vectify integrates SAP HANA Cloud Vector Engine with Langchain and SAP Generative AI Hub to enhance generative AI use cases like automatic replies and issue deduplication. It demonstrates Retrieval Augmented Generation (RAG) for business context embedding.

A practical introduction to building AI applications using LangChain and Large Language Models (LLMs). Created by Wahib, the AI Lead, this repository contains the code examples and notebooks demonstrated during the Generative AI workshop series at GDG On Campus EMSI Casablanca.

This repository demonstrates how to use a LangChain SQL agent to query Google Cloud BigQuery using the Gemini Generative AI models through Vertex AI. This allows you to interact with your BigQuery data using natural language, leveraging the power of Gemini's advanced language understanding capabilities.

My learning of Generative Ai using langchain and huggingface

Generative AI project using LangChain for database search, using natural language AI converts and performs the SQL query