@xapp/question-answering-handler
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A custom question answering handler for 📣 stentor, a framework for building conversational applications. It requires a knowledge base to be setup as part of your conversational application
An Apache 2.0 licensed open source framework for building conversational applications. It supports a variety of channels, NLU, and is extensible by creating custom handlers.
Question Answering is a Natural Language Processing (NLP) field that focuses on answering questions from a corpus of documents.
Stentor will store all knowledgebase results on the session storage on the key knowledge_base_result. QuestionAnsweringHandler will then generate additional keys on the session from these results:
No Answer
A no answer is used when zero results exist from the knowledgebase.
Tags: KB_NO_ANSWER
AI Generated response for No Knowing
GENERATED_NO_ANSWER - We leverage generative AI to produce a no answer response.
Tags: KB_GENERATED_NO_ANSWER
List of Search Results
SEARCH_RESULTS - A list of search results typically based on keyword search
Tags: KB_LIST_OF_RESULTS
Possible Answer from Own Content
SUGGESTED_ANSWER - A possible answer from source text.
Tags: KB_SUGGESTED_ANSWER
Best Answer from the LLM's General Knowledge
GENERAL_KNOWLEDGE - An answer from general knowledge of the generative' AIs large language model.
Tags: KB_GENERAL_KNOWLEDGE
AI Answer from Owned Content
RAG_RESULT - AI Generated from search results
TOP_ANSWER - AI determined, these are pulled directly from the source material and are not generated.
Tags: KB_RAG & KB_TOP_ANSWER
Best Curated Answer
TOP_FAQ - A top match within FAQs that have a human written, curated answer
Tags: KB_TOP_FAQ
FAQs
A question answering handler for 📣 stentor
We found that @xapp/question-answering-handler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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