QnA + Azure Cognitive Search enables instant answers over your search results. Now, you do not need to spend time looking through your pile of documents to find the exact answer to your query. There will be an instant answer coming up for the user query from the most relevant documents present in your system. A solution where you can ingest your pile of documents and query over them to get the answer as well as related relevant documents to get more information.
This solution accelerator enables automatic bulk ingestion of documents for QnA processing via a Cognitive Search custom skill. The sample UI showcases the combined experience of instant answers to your questions as well as the list of relevant documents. Finally, the solution is easily deployed using a simple Deploy button, which sets up all necessary services in your Azure subscription
The solution combines the power of both Azure Cognitive Search and QnA Maker to extract question-answer pairs from your documents before storing them in the index. Once you deploy the solution, you get a single endpoint where for each end user query both the services will be called in parallel and you will get a combined result with an instant answer powered by QnA Maker along with the relevant documents coming from Azure Cognitive Search. Checkout the Cognitive Search Question Answering Solution Accelerator (github.com)
This solution accelerator contains the following artifacts:
You can view a live demo of this repo at the following link: https://aka.ms/qnaWithAzureSearchDemo
Currently instant answers will only be available for the file types supported by QnA Maker. By default, the logic in the Azure Cognitive Search service indexer also ingests only the following file types: .pdf,.docx,.doc,.xlsx,.xls,.html,.rtf,.txt,.tsv. You can change this by modifying the indexedFileNameExtensions property in the Indexer.json.
NOTE: You need to have a GitHub account and Azure subscription to try out this solution.
This solution has been specifically created for our customers to address the long-term standing ask to retrieve an instant answer from the relevant document. This solution currently covers the basic functionality, and we will keep adding more features based on user interaction and customer’s feedback. Please feel free to drop us a mail at firstname.lastname@example.org to provide your valuable feedback.
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