> ## Documentation Index
> Fetch the complete documentation index at: https://pavan-c90e8846.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Advanced AI Agent Pipelines for Production

> Explore 20 advanced multi-agent projects including deep research, auto-research, due diligence, startup validation, and meeting assistants.

The Advanced Agents category contains 20 complex, multi-agent pipelines designed for production-ready, end-to-end workflows. These projects demonstrate sophisticated orchestration patterns, integration with multiple data sources, and real-world automation use cases across research, finance, sales, content, and operations.

## Key Advanced Projects

| Project | Focus | Description |
| - | - | - |
| Deep Research + Writing Agents Workshop | Research + generation | Nebius-powered LangChain MCP workshop with Exa research, Gemini image generation, and Okahu evaluation |
| Nebius AutoResearch | Analytics pipeline | NYC taxi analytics pipeline optimizer using Nebius for iterative code search |
| Due Diligence Agent | Multi-agent research | Company due diligence pipeline with AG2 and TinyFish deep web scraping |
| Deep Researcher | Multi-stage research | Agno and ScrapeGraph AI-powered multi-stage research agent |
| Candilyzer | Candidate analysis | GitHub/LinkedIn profile analysis tool |
| Job Finder | Job automation | LinkedIn job search automation with Bright Data integration |
| AI Trend Analyzer | Trend mining | Google ADK-powered AI trend mining and analysis |
| Conference Talk Generator | Content generation | Automated talk abstract generation with Google ADK and Couchbase |
| Price Monitoring Agent | Monitoring | Price monitoring and alerting with CrewAI, Twilio, and Nebius |
| Startup Idea Validator | Validation | Agentic workflow to validate and analyze startup ideas |
| Meeting Assistant | Meeting automation | Automated meeting notes and task creation from conversations |
| AI Hedgefund | Financial analysis | Agentic workflow for comprehensive financial analysis |
| Smart GTM Agent | Strategy | Go-to-market strategy and competitive analysis agent |
| Car Finder Agent | Recommendation | Used car recommendation system with CrewAI and MongoDB |
| Content Team Agent | SEO content | SEO content optimization with Agno and SerpAPI for ranking |
| Customer Support Resolution | Support pipeline | LangChain and Nebius support agent with KB retrieval, order lookup, and escalation |
| Temporal Agents | Temporal workflows | Temporal-based AI agent examples for durable execution |

## How to Use Advanced Projects

<Steps>
  <Step title="Choose a workflow">
    ```bash theme={null}
    cd advance_ai_agents/<project_name>
    ```
  </Step>

  <Step title="Configure API keys">
    ```bash theme={null}
    cp .env.example .env
    ```

    Advanced projects often integrate multiple APIs. Fill in all required keys.
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    pip install -r requirements.txt
    ```
  </Step>

  <Step title="Run the pipeline">
    ```bash theme={null}
    python main.py
    ```

    Some projects expose web UIs or dashboards. Check the README for the exact command.
  </Step>
</Steps>

<Warning>
  Advanced agents may make external API calls, trigger emails, or update external systems. Review the code before running in a production environment.
</Warning>


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