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This code is an implementation of a chatbot using LLM chat model API and Langchain.

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.

The easiest way to supercharge your apps with LLM!

向量化、RAG增强、智能体Agent、LangChain LCEL 管道组合等等。持续更新...

A LangChain-based chat application running Llama 3 locally via Ollama, featuring a modern Streamlit chat UI and LCEL pipeline.

This is a simple application of the LLM (Lattice Conditional Execution Language) with the LCEL (Lattice Conditional Execution Language) library. The application is a simple calculator that can perform addition, subtraction, multiplication, and division.

This is an AI-powered Streamlit chatbot that answers user questions about bank loan or insurance policy documents (PDFs). It uses LangChain, FAISS, and Ollama LLM running locally with Cloudflare to provide public access.

An exploration of the modern LangChain Expression Language (LCEL), showcasing how to build powerful AI workflows with Runnables for RAG, conditional logic, and more.

RAGulator is a dynamic framework that enables manual evaluation of RAG pipelines created with LangChain Expression Language (LCEL) in real-time

Simple RAG app to demonstrate functionalities using PL md files

A collection of simple, practical examples to learn the basics of LangChain. This repo covers setup, memory management, chaining operations, structured output parsing, and retrieval-based question answering. Perfect for developers starting with LangChain who want to grasp its core concepts and functionalities.