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Initial draft of Create a General-purpose chatbot (#2411)

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writinwaters
2024-09-13 17:21:03 +08:00
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docs/guides/agentic_rag/agentic_rag_introduction.md
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@ -51,9 +51,9 @@ Please review the flowing description of the RAG-specific components before you
| Component | Description |
| -------------- | ------------------------------------------------------------ |
| **Retrieval** | A component that retrieves information from a specified knowledge base and returns 'Empty response' if no information is found. Ensure the correct knowledge base is selected. |
| **Retrieval** | A component that retrieves information from specified knowledge bases and returns 'Empty response' if no information is found. Ensure the correct knowledge bases are selected. |
| **Generate** | A component that prompts the LLM to generate responses. You must ensure the prompt is set correctly. |
| **Answer** | A component that serves as the interface between human and bot, receiving user inputs and displaying the agent's responses. |
| **Answer** | A component that serves as the interface between human and the bot, receiving user inputs and displaying the agent's responses. |
| **Categorize** | A component that uses the LLM to classify user inputs into predefined categories. Ensure you specify the name, description, and examples for each category, along with the corresponding next component. |
| **Message** | A component that sends out a static message. If multiple messages are supplied, it randomly selects one to send. Ensure its downstream is **Answer**, the interface component. |
| **Relevant** | A component that uses the LLM to assess whether the upstream output is relevant to the user's latest query. Ensure you specify the next component for each judge result. |