How to use the question answering interface?

You have successfully imported documents in your question-answering project and you want now to give a try.

  • Go to the Question answering view
  • Ask a question in natural language
  • The result list from the retriever is displayed first. This is the list of segments sorted by relevancy (ranking score).
  • The generated answer with the LLM is presented in the green box with active link to the references in []
  • You can save your question by clicking on the icon
  • You can easily access all your saved / imported questions on the left panel
  • Click on Show options to change configuration or customize your question answering solution
  • Select your search strategy to retrieve segments: you can use full-text search, vector search or hybrid search. Hybrid search combines both full-text and vector search.
  • Select your vectorizer or create a new one to experiment vector search
  • Note that the default vectorizer is:
    • all-MiniLM-L6-v2 for english project
    • CamemBERT for french project
    • Multilingual-MiniLM-L12-v2 for all languages except english and french
    • Multilingual-MiniLM-L12-v2 for multilingual project
  • Select your answer generator with LLMs or create a new one to experiment question answering
  • Note that in general the default answer generator uses OpenAI/GPT3.5 as LLM