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(docs)Add descriptions of Chat Memory
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@@ -52,7 +52,9 @@ The high-level architecture and main process flow is as follows:
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- **Semantic Translator:** converts semantic query statement into SQL statement that can be executed against physical data models.
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- **Chat Plugin:** extends functionality with third-party tools. The LLM is going to select the most suitable one, given all configured plugins with function description and sample questions.
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- **Chat Plugin:** extends functionality with third-party tools. Given a list of configured plugins with descriptions and sample questions, an LLM will be leveraged to select the most suitable one.
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- **Chat Memory:** encapsulates a collection of historical query trajectories that can be recalled to facilitate few-shot prompting.
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## Quick Demo
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### Online playground
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