📄️ LLM Text Complete
Learn how the LLM Text Complete task generates text responses based on prompts and model parameters.
📄️ LLM Generate Embeddings
Learn how the LLM Generate Embeddings task creates vector embeddings from text or data using an AI model.
📄️ LLM Store Embeddings
Learn how the LLM Store Embeddings task stores generated embeddings in a vector database for later retrieval.
📄️ LLM Get Embeddings
Learn how the LLM Get Embeddings task retrieves stored embeddings from a vector database.
📄️ LLM Index Document
Learn how the LLM Index Document task indexes documents into a vector database for semantic search and retrieval.
📄️ LLM Get Document
Learn how the LLM Get Document task retrieves stored documents for further AI processing or analysis.
📄️ LLM Index Text
Learn how the LLM Index Text task indexes text content into a vector database for semantic search.
📄️ LLM Search Index
Learn how the LLM Search Index task queries a vector database to find documents relevant to a given query.
📄️ LLM Chat Complete
Learn how the LLM Chat Complete task generates conversational responses using chat-based LLM models.
📄️ Chunk Text
Learn how the Chunk Text task splits large text into smaller segments for efficient AI processing and analysis.
📄️ List Files
Learn how the List Files task retrieves file listings from cloud storage, Git repositories, or websites for downstream processing.
📄️ Parse Document
Learn how the Parse Document task extracts, converts, and structures documents into Markdown for AI processing and semantic workflows.