Pipeline Building Components

The GenAI Pipeline Builder offers a diverse set of components that enable powerful AI workflows. These components include image analysis tools, custom function execution, API integrations, text processing capabilities, vector database operations, web scraping, and LLM-powered features like chat and text generation. With tools for data extraction, transformation, conditional logic, and integration with external services, users can create comprehensive AI pipelines by simply connecting these components to process data and generate insights without extensive coding.

Click on any section title below to navigate directly to its detailed documentation.

• Analyze Image LLM
• Analyze PDF LLM
• Call Custom Function
• Call HTTP Get
• Call HTTP Post
• Chat Response Without Context
• Chat With Attachment Response
• Create or Update Collection
• Chat With Context
• Check Condition
• Chunk Text
• Create or Update Graph Nodes
• Delete Collection
• Create VectorDB Context
• Join Flows
• Delete Graph Nodes
• Download From S3
• Extract Text
• Generate Text
• Get Collection Config
• Generate Response Using MCP
• Get JSON from String
• Invoke Pipeline
• Make Function Call
• Scalar Search Collection
• Execute Graph Search
• Loop
• Summarize Text
• Scrape Webpage
• Vector Search Collection