Deploy on Lamatic
This bundle allows you to vectorise from any data source into your vector database, and then allows to build a RAG chatbot to answer your question.
This flow includes an option of integrating from 7 indexation flows working together with then to build a RAG system powered by a RAG chatbot.
- config.json - Complete flow structure with nodes and connections
- inputs.json - Private inputs requiring configuration
- meta.json - Flow metadata and information
- Import this bundle into your Lamatic workspace
- Configure the required private inputs as listed in
inputs.json - Test the flow with sample data
- Deploy and integrate into your system
Help grow the Lamatic ecosystem by contributing improvements to AgentKit!
-
Fork the Repository
- Visit github.com/Lamatic/AgentKit
- Fork the repository to your GitHub account
-
Prepare Your Submission
- Create a new folder with a descriptive name for your flow
- Add all files from this package for each flow (
config.json,inputs.json,meta.json) - Write a comprehensive README.md that includes:
- Clear description of what the flow does
- Use cases and benefits
- Step-by-step setup instructions
- Required credentials and how to obtain them
- Example inputs and expected outputs
- Screenshots or diagrams (optional but recommended)
-
Open a Pull Request
- Commit your changes with a descriptive message
- Push to your forked repository
- Open a PR to github.com/Lamatic/AgentKit
- Add a clear description of your flow in the PR
Your contribution will help others build amazing automations! 🚀
For questions or issues with this flow:
- Review the node documentation for specific integrations
- Check the Lamatic documentation at docs.lamatic.ai
- Contact support for assistance
Startup,Document
Exported from Lamatic Template Library Generated on 11/11/2025