Implement answer_with_context method for direct query-based answers #6
Description
Currently, the GithubRAG class in the llama-github library provides a retrieve_context method that retrieves relevant context based on a user's query. However, users often need a more straightforward way to obtain direct answers to their questions without explicitly handling the context retrieval process. To enhance the usability and convenience of the library, we propose adding an answer_with_context method to the GithubRAG class.
The answer_with_context method should accept a user's query and an optional contexts parameter. If the contexts parameter is not provided, the method should internally call the retrieve_context method to obtain the relevant context based on the user's query. Once the context is available, the method should invoke the self.rag_processor.llm_handler.ainvoke() method to generate the final answer based on the retrieved context.
Tasks:
- Design the interface for the
answer_with_contextmethod, including the method signature and parameter definitions. - Implement the logic to check if the
contextsparameter is provided. If not, call theretrieve_contextmethod to obtain the relevant context based on the user's query. - Integrate the
self.rag_processor.llm_handler.ainvoke()method to generate the final answer based on the retrieved or provided context. - Handle any necessary error handling and edge cases, such as empty context or invalid queries.
- Write unit tests to verify the functionality of the
answer_with_contextmethod, covering different scenarios such as providing context explicitly and relying on the internal context retrieval. - Update the library's documentation, including the API reference and usage examples, to showcase the new
answer_with_contextmethod and its usage. - Provide clear and concise inline comments within the implemented code to explain the purpose and functionality of each section.
- Ensure that the implementation follows the coding style and best practices maintained in the
llama-githublibrary. - Test the
answer_with_contextmethod thoroughly with various queries and context scenarios to ensure its robustness and reliability.
Skill level: Intermediate
Language: Python
By implementing the answer_with_context method, we aim to provide a more user-friendly and efficient way for users to obtain direct answers to their queries without the need to manually handle context retrieval. This enhancement will improve the overall user experience and make the llama-github library more versatile and convenient to use.
If you have any suggestions, ideas, or concerns regarding the implementation or design of the answer_with_context method, please share them in the comments. We value your feedback and collaboration in making this feature addition successful.
Let's work together to enhance the capabilities of the llama-github library and provide a smoother experience for our users!