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

The easiest way to supercharge your apps with LLM!

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.

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

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.

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

A hands-on lab exploring LangChain Expression Language (LCEL) and LangGraph for building stateful, composable, and production-oriented AI workflows. Covers prompt pipelines, structured outputs, conversational memory, routing logic, and graph-based orchestration.

Professional-grade AI legal auditor for contract analysis. Built with LangChain, Gemini 3 Flash, and Streamlit, this tool enables real-time, context-aware audits of complex legal documents with sub-second response streaming

Syllabus-aware RAG platform for automated exam generation & multimodal grading. Features Tesseract OCR, ChromaDB for modular syllabus retrieval, and Gemini 2.5 Flash for handwritten answer evaluation.

Foundations of LLM orchestration using the LangChain framework for the Enterprise Architecture (AREP) course at Escuela Colombiana de Ingeniería Julio Garavito. This project implements LangChain Expression Language (LCEL) chains, dynamic prompt templates, and multi-purpose AI demonstrators powered by Groq's LPU inference engine for high-performance

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

RAG pipeline that lets you upload any PDF and query it in natural language.

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.

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.

Production RAG app — LangChain LCEL, LlamaIndex, Crew.ai multi-agent, FAISS, FastAPI, Docker, MLflow evaluation, GitHub Actions CI, MCP server — zero paid APIs