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(docs)Revise component description in README

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jerryjzhang
2024-04-18 15:18:59 +08:00
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@@ -46,11 +46,11 @@ The high-level architecture and main process flow is as follows:
- **Schema Mapper:** identifies references to schema elements(metrics/dimensions/entities/values) in user queries. It matches the query text against the knowledge base.
- **Semantic Parser:** understands user queries and extracts semantic information. It consists of a combination of rule-based and model-based parsers, each of which deals with specific scenarios.
- **Semantic Parser:** understands user queries and generates semantic query statement. It consists of a combination of rule-based and model-based parsers, each of which deals with specific scenarios.
- **Semantic Corrector:** checks validity of extracted semantic information and performs correction and optimization if needed.
- **Semantic Corrector:** checks validity of semantic query statement and performs correction and optimization if needed.
- **Semantic Interpreter:** performs execution according to extracted semantic information. It generates SQL statements and executes them against physical data models.
- **Semantic Translator:** converts semantic query statement into SQL statement that can be executed against physical data models.
- **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.