The AI Research Agent is a powerful tool designed to automate comprehensive city and topic research, fill data gaps, and store structured data.
- Purpose: Perform multi-step deep research on defined criteria.
- Usage:
- Enter Job Keywords (e.g., "San Francisco Tech Scene").
- Define Research Criteria (e.g., "Top Startups", "Venture Capital Activity").
- Select an AI Model (e.g., Groq Compound).
- Click Start Research.
- Review real-time logs and results.
- Stop Research: Click the Stop button at any time to halt the process.
- Purpose: Manage reusable research criteria templates.
- Usage:
- Add new criteria with a Name and Description.
- Define the expected Output Schema (JSON format).
- Save for use in the Research tab.
- Purpose: Embed and store text data for semantic search.
- Usage:
- Enter Mixedbread API Key (for embeddings).
- Enter Pinecone API Key & Index Name.
- Paste large text content.
- Click Embed & Store.
- The system automatically chunks and stores the data.
- Purpose: Let an AI architect design a custom research plan for complex queries.
- Usage:
- Go to the Agent tab (Purple Sparkle icon).
- Describe your goal (e.g., "Find top 5 AI startups in SF and save their CEO's LinkedIn").
- Click Generate Plan.
- Review the proposed Flowchart.
- Edit steps if needed (remove unwanted steps).
- Click Execute Plan (Coming Soon).
- Purpose: Configure global API keys and model preferences.
- Usage:
- Set Groq API Key (Primary LLM).
- Set Tavily API Key (Search Engine).
- Select default models and fallback behavior.
- Purpose: Track usage and research performance.
- Usage: View charts on job completion rates, token usage, and successful criteria extractions.