BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

ChatGPT Web Nuxt 3 Vue 3 Version

Q&A based on elasticsearch+langchain+chatglm2 ｜ 基于elasticsearch，langchain，chatglm2的自有知识库问答

Syzygy-of-thoughts

Reddit_Poster_AIHawk is a Python script demonstrating AI's capabilities in social media interaction. It uses GPT models to analyze trending subreddits and automatically generate contextually relevant Reddit posts, showcasing AI's potential in understanding and engaging with online discussions.

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

Mojuan: Write your own AI application.

Multimodal RAG ingests PDFs and generates combined text and image outputs by retrieving and grounding relevant information from the documents.

A minimal, lightweight client designed to simplify SDK adoption into MCP

Use the open-source large model to train your own LLM model chatGPT

Personal assistant using Agent modulation with dialog, drawing, video and music playback.

Your Gateway to Tailored Career Messages: LLM-Powered Message Generator Application

An AI-powered chatbot that lets you upload and interact with multiple PDF files using natural language — powered by LangChain, FAISS, and Google Gemini.

GitSense is a developer tool that simplifies repository analysis with AI-powered commit summaries and a smart Q&A system. Built with Next.js, LangChain, and Google Gemini API, it helps you understand your codebase faster and smarter.

The MCQ Generator uses OpenAI and LangChain to create multiple-choice questions from a provided PDF, allowing users to specify the subject and difficulty level.

This repository demonstrates structured data extraction using various language models and frameworks. It includes examples of generating JSON outputs for name and age extraction from text prompts. The project leverages models like Qwen and frameworks such as LangChain, vLLM, and Outlines for Transformers models.

ATS Resume, Analaysis the resume of the user and generates questions based on resume.

A Repo containing all the example code for Langchain

Streamlit-based AI assistant powered by OpenAI with Langchain integration for SQL capabilities via CSV uploads.