langchain

A Java 8+ LangChain implementation. Build powerful LLM based applications in an (enterprise) Java context.

An AI-powered chatbot that leverages RAG (Retrieval-Augmented Generation) to answer your questions based on the content of uploaded PDFs

An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base, switch embedding models, and tune retrieval parameters on-the-fly through a conversational interface.

ChatWithPDF is a cutting-edge platform that enhances PDF functionality. Users can upload PDFs, extract summaries, and get answers to questions. It features an attractive UI with shadcn and Tailwind CSS and employs advanced tech like Langchain and OpenAI models for chat completions and text embeddings. It's a powerful tool for document management

Quick start. Index multiple documents in a repository using HuggingFace embeddings. Save them in Chroma and / or FAISS for recall. Choose OpenAI or Azure OpenAI APIs to get answers to your questions - Q&A with OpenAI and Azure OpenAI.

A reusable, open-source AI infrastructure designed for communities and organizations. It understands structured data, processes official announcements, and answers questions accurately by centralizing important information.

Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit

Analyse environmental, social, and governance policies for potential gaps using AI - powered by LLMs, RAG techniques, and a regulatory knowledge base using OpenAI API, LangChain, Pinecone and Streamlit.

Leveraging LLMs for modernization through intelligent chunking, iterative prompting and reflection, and retrieval augmented generation (RAG).

该项目是无人机的租赁系统，也可以是其他的设备、器材租赁，技术栈：Java 21 + Spring Boot 3.5.13 + Vue 3 + Spring AI + MCP + AI Memory，其他的技术栈Dify/Coze、 Python LangChain/LangGraph Agent 。项目是开源的，免费学习的，star支持一下，不断更新中。

Learning Azure AI with APIM, Semantic Kernel and LangChain.

JavaChain 用于快速搭建LLM应用，参考了 LangChain 的架构设计，基于Java8实现。

Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)

Operational Database for AI Agents Provide causality lineage, DAG, and State Replay , build to make AI Agents auditable Reliable and EU AI ACT compliant

Practical step-by-step LangChain guides

A guide about how to use GPTQ models with langchain

⚡ Instantly turn your python function into web app.

Create and manage custom AI assistant tools on-the-fly with a visual interface

A collection of awesome web2 and web3 AI agents and workflows using OpenAI compatible LLMs.

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