Projects with this topic
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Content Orchestrator is an AI-powered system that streamlines the creation, optimization, and management of content for various purposes, such as blog posts, articles, and advertisements. By leveraging advanced natural language processing techniques and machine learning algorithms, it enhances the efficiency and effectiveness of content creation and distribution. The system employs a network of specialized AI agents that collaborate to analyze, label, and optimize content for specific target audiences and objectives, with a strong emphasis on creating advertiser-friendly content.
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Local first, AI-powered data analytic workspace.
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Full RAG pipeline (LangChain + Qdrant + Streamlit)
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Use LangChain for web navigation
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QuantForge AI is where intelligence is forged — not trained. A continuous engine that learns, adapts, and creates insight from the chaos of financial data.
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AI-driven job application automation system using ZhipuAI GLM-4 and Chrome DevTools MCP.
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Model Context Protocol MCP Demo With Langchain MCP ADAPTERS Ollama
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Browser automation application
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langchain web navigation by MCP
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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.
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This project delivers an AI-powered chatbot with versatile capabilities, including document-based question answering and summarization, image captioning, and audio interaction.
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