The Doc Search Logic element is designed to enable real-time document search capabilities within your conversation flows. By leveraging retrieval-augmented generation (RAG) techniques, this element allows you to search through large collections of documents and extract relevant information based on natural language queries.
Key features:
- Query documents using natural language
- Real-time search through document collections
- Built-in test functionality
- Simple integration with flow variables
This element is particularly useful for:
- Creating intelligent chatbots and assistants
- Building document Q&A systems
- Enhancing conversations with knowledge base lookups
- Contextual information retrieval
The doc search logic element seamlessly integrates with your flow's variables and logic while providing powerful document search capabilities through RAG techniques. This enables dynamic, context-aware conversations based on your document knowledge base.