Projects with this topic
-
-
AI-driven job application automation system using ZhipuAI GLM-4 and Chrome DevTools MCP.
Updated -
Model Context Protocol MCP Demo With Langchain MCP ADAPTERS Ollama
Updated -
-
Browser automation application
Updated -
langchain web navigation by MCP
Updated -
-
-
-
This project is a Retrieval-Augmented Generation (RAG) application built using LangChain. It leverages advanced language models and vector databases to answer questions about epidemiological modeling, software development, and maintaining the EPP model for HIV modeling.
UpdatedUpdated -
This project delivers an AI-powered chatbot with versatile capabilities, including document-based question answering and summarization, image captioning, and audio interaction.
Updated -
-
-
A project documentator, open source and completely free to use, take into account that it currently only supports python and yaml files only, it is suitable when you work with people who don't document their codebase
Updated -
AIQA (AI Questions Answering) — локальный стек для построения сервиса вопросов-ответов на базе LLM и векторных представлений. Быстрое развертывание в Docker, устойчивое хранение знаний и удобный API для интеграции.
Updated -
-
An example AI chatbot backend project made with TypeScript, LangChain and Express.
Updated -
-
Automated Software Developer - Cyberdev - that can work on issues in the selected repository.
Updated -
The EUC RAG Agent is a Retrieval-Augmented Generation (RAG) system built to deliver accurate and relevant responses for the fictional Egyptian University in Cairo (EUC). It uses all-MiniLM-L6-v2, gemini embedding-001, or TF-IDF vectorization for precise information retrieval and employs gemini-1.5-flash, gemini-1.5-pro, or llama2:7b models for generating concise, professional answers. The agent efficiently addresses a variety of university-related inquiries.
Updated