Key Challenges and Solutions
1. Natural Language to SQL Translation
One of the primary challenges is translating natural language queries into valid SQL. Our solution uses the Opper framework to generate SQL queries based on the user’s input and the database structure. Key function:generate_sql_query()
2. Handling Query Failures
Not all generated queries will be successful. We implemented a reflection and retry mechanism to handle query failures. Key function: reflect_on_result()3. Maintaining Conversation Context
To provide coherent responses, the assistant needs to maintain the context of the conversation. We achieve this by appending each question and response to a conversation string.4. Dynamic Database Structure Understanding
The assistant needs to understand the structure of any given database. We solve this with the get_db_structure() method in the DatabaseManager class.5. Interesting Features
- Tracing and Metrics
- Suggestion System
- Verbose Mode