VectorShift: Watch Me Connect Multiple AI Agents With Just Clicks!

Key Concepts

Super Agents, Multi-Agent Systems, No-Code AI, Vector Shift, Pipelines, Custom Data Integration, AI Tools, Large Language Models (LLMs), Knowledge Bases, Agent Workflows, Deep Research, Chatbot Deployment, AI Analytics.

1. Adding Custom Data

• Main Topic: Integrating custom data into the AI agent system.
• Key Points:
  • Using Vector Shift's "Knowledge" feature to upload and manage custom data.
  • Multiple methods for adding data: file uploads, scraping from URLs, and custom integrations (Slack, Gmail, etc.).
  • Example: Uploading a file named "praisen AI custom data" and scraping data from a specific URL.
• Process:
  1. Navigate to the "Knowledge" section in the Vector Shift dashboard.
  2. Create a new knowledge base.
  3. Add documents via file upload, URL scraping, or custom integrations.

2. Super Agent Architecture

• Main Topic: Designing a super agent with multiple skills and tools.
• Key Points:
  • The super agent acts as a central hub, interacting with other specialized agents (pipelines).
  • The architecture includes pipelines for specific tasks like blog writing and deep research.
  • Tools are assigned to agents to enhance their capabilities (e.g., internet search, email sending).
• Architecture: Super Agent <-> (Blog Writer Agent Pipeline + Deep Research Agent Pipeline) + Tools

3. Creating and Assigning Tools

• Main Topic: Integrating tools into the super agent.
• Key Points:
  • Vector Shift provides a variety of pre-built tools and integrations.
  • Examples: Ex AI Search (internet search), URL scraper, Gmail integration.
  • Tools are added to the agent through the Vector Shift interface.
• Process:
  1. Navigate to the "Agents" section and select the "Super Agent."
  2. Click on "Tools" and choose the desired tools from the available options.
  3. Authenticate with necessary accounts (e.g., Gmail).
  4. Deploy the changes.

4. Creating Agents as Tools (Pipelines)

• Main Topic: Building agent workflows using pipelines.
• Key Points:
  • Pipelines allow chaining multiple agents together to perform complex tasks.
  • Example: Creating a "Blog Writer Agent" pipeline with two agents: a blog outline agent and a blog writer agent.
  • Data and context are passed between agents within the pipeline.
• Process (Blog Writer Agent Pipeline):
  1. Create a new pipeline named "Blog Writer Agent."
  2. Add two OpenAI agents to the pipeline.
  3. Connect the input (topic) to the first agent (blog outline creator).
  4. Connect the custom knowledge base to both agents to provide context.
  5. Pass the output from the first agent (outline) to the second agent (blog writer).
  6. Define prompts and instructions for each agent.
  7. Connect the output from the second agent to the pipeline output.
  8. Deploy the changes.
• Process (Deep Research Agent Pipeline):
  1. Create a new pipeline named "Deep Research Agent."
  2. Add a Perplexity AI agent to the pipeline, specifically using the "sona-deep-research" model.
  3. Connect the input to the Perplexity AI agent.
  4. Pass the output from the Perplexity AI agent to the pipeline output.
  5. Deploy the changes.

5. Connecting Pipelines to the Super Agent

• Main Topic: Integrating the created pipelines into the main super agent.
• Key Points:
  • The "Blog Writer Agent" and "Deep Research Agent" pipelines are added as tools to the super agent.
  • This allows the super agent to delegate tasks to these specialized pipelines.
• Process:
  1. In the Super Agent configuration, add the "Blog Writer Agent" and "Deep Research Agent" pipelines as tools.
  2. Deploy the changes.

6. Deploying the Super Agent as a Chatbot

• Main Topic: Publishing the super agent as a chatbot on a website.
• Key Points:
  • Vector Shift allows exporting the agent as a chatbot with a dedicated URL or as an iframe.
  • The chatbot can be customized with a logo and name.
  • Example: Embedding the chatbot on a WordPress website using the iframe code.
• Process:
  1. Create a new pipeline named "Super Agent Pipeline."
  2. Add the "Super Agent" as an agent within the pipeline.
  3. Connect the input and output.
  4. Deploy the changes.
  5. Export the pipeline as a chatbot.
  6. Customize the chatbot's appearance.
  7. Deploy the changes.
  8. Embed the chatbot on a website using the provided iframe code.

7. Monitoring and Analytics

• Main Topic: Tracking the performance and behavior of the AI agents.
• Key Points:
  • Vector Shift provides analytics and tracing tools to monitor agent activity.
  • Users can view detailed traces of each agent's execution, including inputs, outputs, and intermediate steps.
  • This helps in identifying errors and optimizing agent performance.
• Features:
  • Analytics dashboard for overall performance monitoring.
  • Tracing tools to view the step-by-step execution of agents and pipelines.

8. Notable Quotes

• N/A

9. Technical Terms

• Super Agent: A central AI agent with multiple skills and tools, capable of delegating tasks to other specialized agents.
• Pipeline: A workflow that chains multiple agents together to perform a complex task.
• Knowledge Base: A repository of custom data used to provide context and information to AI agents.
• LLM Config: Configuration settings for the Large Language Model used by the agent, including provider and model selection.
• Vector Shift: A no-code platform for building AI apps and workflows.

10. Synthesis/Conclusion

The video demonstrates how to build a powerful super agent using Vector Shift's no-code platform. By integrating custom data, creating specialized agent pipelines, and assigning appropriate tools, users can create AI systems capable of performing complex tasks like blog writing and deep research. The ability to deploy these agents as chatbots and monitor their performance through analytics and tracing tools makes Vector Shift a comprehensive solution for building and deploying AI applications without coding. The key takeaway is the power of combining multiple agents and tools in a structured workflow to achieve sophisticated AI capabilities.