Research-Agent — DeepSeek AI Agent
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    Research-Agent

    Research-Agent

    oneKn8 January 21, 2026
    1 copies 0 downloads

    Autonomous research pipeline using LangGraph with locally-hosted DeepSeek-R1-14B via vLLM. Adaptive planning, web + ArXiv search, gap analysis, LaTeX output with citations.

    Research Agent

    A deep research AI system that generates publication-ready LaTeX papers. Built with a self-hosted reasoning model (DeepSeek-R1-Distill-Qwen-14B) and GPT-4o-mini workers for search and extraction.

    Features

    • Deep Research: Searches web and ArXiv for relevant papers and sources
    • Self-Hosted Brain: 128K context reasoning model via vLLM
    • Publication-Ready Output: LaTeX papers with proper BibTeX citations
    • Domain Focus: AI/ML, Quantum Physics, Astrophysics
    • Resilient: Circuit breaker protection for external services
    • Observable: Prometheus-compatible metrics and structured logging

    Architecture

    User Query
        |
        v
    +------------------+
    |   FastAPI        |  API Layer (rate limiting, validation)
    +------------------+
        |
        v
    +------------------+
    |   LangGraph      |  Orchestration (state machine, checkpointing)
    +------------------+
        |
        +---> Brain (DeepSeek-R1-Distill-14B, self-hosted vLLM)
        |       - Planning: Creates research strategy
        |       - Analysis: Evaluates gathered sources
        |       - Synthesis: Combines findings
        |       - Review: Quality checks output
        |
        +---> Workers (GPT-4o-mini API)
                - Web search (Tavily API)
                - ArXiv search and paper retrieval
                - LaTeX section drafting
        |
        v
    +------------------+
    |   LaTeX Output   |  Papers with BibTeX citations
    +------------------+
    

    Requirements

    • Python 3.12+
    • Docker and Docker Compose
    • NVIDIA GPU with 24GB+ VRAM (for local brain service)
    • API keys: OpenAI, Tavily

    Quick Start

    1. Clone and setup

    git clone <repository-url>
    cd research-agent
    ./scripts/setup.sh
    

    2. Configure environment

    cp .env.example .env
    

    Edit .env with your API keys:

    # Required
    OPENAI_API_KEY=sk-your-openai-api-key
    TAVILY_API_KEY=tvly-your-tavily-api-key
    
    # Brain service (use mock for development)
    BRAIN_SERVICE_URL=http://localhost:8001
    BRAIN_API_KEY=your-internal-bra
    

    Tags

    ai-agentsdeepseekfastapilanggraphpythonresearchvllm

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