Popular GitHub Repositories for Langchain Chains

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.

*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.*

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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.

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.

For the purposes of familiarization and learning. Consists of utilizing LangChain framework, LangSmith for tracing, OpenAI LLM models, Pinecone serverless vectorDB using Jupyter Notebook and Python.

A beginner-friendly LangChain project that demonstrates the core steps of building a Retrieval-Augmented Generation (RAG) GenAI app — including data ingestion, chunking, embeddings, vectorstores (FAISS/Chroma), retrievers, and LLM response chains using OpenAI GPT-4o.

This repo provides a comprehensive guide to mastering LangChain, covering everything from basic to advanced topics with practical code examples in Python. Whether you're working with chains, agents, or document loaders, this repository offers a complete learning experience