A comprehensive learning path and practical guide for Generative AI development with hands-on LangChain implementations and detailed notes.
-
Updated
Sep 8, 2025 - Jupyter Notebook
A comprehensive learning path and practical guide for Generative AI development with hands-on LangChain implementations and detailed notes.
The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.
Click below to visit my website
*Built upon the integration of text, image, and audio modalities, this Multi-modal RAG task follows a structured, step-by-step pipeline to effectively combine and process diverse data sources.*
Welcome to our new Custom WebSearch Agent, now as an easy-to-use Streamlit app! No more sifting through loads of generic results. With this app, you get a search experience that's all about you. It's like having your own personal search assistant right at your fingertips.
🤖🧪 All my AI Agent projects in one place — smart, interactive, and tool-powered! 🚀🧠
Generative AI demos, an example of a langchain based application that implements Retrieval-Augmented-Generation for an enhanced generation. It uses OpenAI model and OpenAI function tool agent. Able to run Ollama Mistral local LLM too.
Working and explanation of LangChain, an open-source framework that allows users to build applications using LLMs like GPT4 and GPT 3.5 Turbo.
A repo for my docs related to Generative AI. This includes the implementation codes, csv files etc. of the topics Langchain, RAG , AI agents etc. for my future reference.
Harnessing the synergy of LangChain and the Google Gemini Model, this advanced chatbot transforms digital interactions with its generative AI capabilities.
Learn all about AI
Multiple PDF file reader chat bot
Develop a FastAPI backend system that acts as a weather chatbot. The bot will leverage the LangChain SDK to enable AI-powered conversations.
This repository contains a Python script that uses the Langchain framework to automatically generate YouTube video titles and scripts. The script uses the GPT-3.5 language model to generate the text, and it can be customized to generate different types of content, such as educational videos, product reviews, or vlogs.
This is an AI-powered solution designed to streamline cold email generation and client engagement for service-based companies. By utilizing Llama-3.1, a state-of-the-art language model, and ChromaDB, a vector database optimized for semantic search and retrieval, the tool generates highly personalized and contextually relevant cold emails.
langchain tutorial using gemini
Scrapes job posts from LinkedIn and Indeed using Selenium. Also includes some further analysis and simple explorations with langchain
Welcome to my LangChain Learning Repository! 🚀 This repository serves as a structured collection of my learnings in LangChain, covering various aspects such as prompts, LLM integration, chaining methods, agents, and Retrieval-Augmented Generation (RAG).
Workshop demo for mastering RAG pipelines: Retrieval-Aided Generation with optimized retrieval, augmentation, and generation techniques. Includes practical examples using Gradio, Hugging Face, BM25, and LangChain.
Add a description, image, and links to the langchain-chains topic page so that developers can more easily learn about it.
To associate your repository with the langchain-chains topic, visit your repo's landing page and select "manage topics."