you need to update the Relevance graph with ada3 which is much more superior than ada2 , and hence see whether the re-ranker will provide a considerable differential or diminishing returns . In general the Azure AI search is a a fantastic technology comparatively . I have tested it on production scale , and it's blazingly fast
AI search offers automatic index refreshes down to every 5 mins that can perform “incremental” vectorisation automatically for changes in data sources on Azure Blob Storage. If you want more control on the refreshes example immediate or batch process (say end of day), you can leverage blob storage change notifications (immediate) or use Blob Change feed (for a consistent, ordered, and guaranteed log of changes useful for batch processing changes in your data source). Checkout this session from around the 30th min for more context and live demonstration of how to use change feed. ruclips.net/video/e2zpe5T_Jf0/видео.html Hope this helps :)
Is it possible to combine structured data (like JSON from a database or API) with unstructured data (like documents and audio) using the RAG pattern? I want to help customer care agents quickly call or email customers to share extra documents based on their structured data (employment type, age, etc.) and existing documents shared by customer. The mandatory document list and rules for each customer type are in a our internal wiki/CRM website. Should we try it with Multitenant Azure search? I still not clear how can I integrate my Json data that can be used to query.
Vinod tried to value sell. Sumit (IT user) did a good job with the demo; the commentary is helpful.
Great Video...Thanks
you need to update the Relevance graph with ada3 which is much more superior than ada2 , and hence see whether the re-ranker will provide a considerable differential or diminishing returns . In general the Azure AI search is a a fantastic technology comparatively . I have tested it on production scale , and it's blazingly fast
Great and informative content :)
when using RAG, do you have to update the data every time to be up-to-date? is there a way of automatically feeding the RAG with data?
AI search offers automatic index refreshes down to every 5 mins that can perform “incremental” vectorisation automatically for changes in data sources on Azure Blob Storage. If you want more control on the refreshes example immediate or batch process (say end of day), you can leverage blob storage change notifications (immediate) or use Blob Change feed (for a consistent, ordered, and guaranteed log of changes useful for batch processing changes in your data source). Checkout this session from around the 30th min for more context and live demonstration of how to use change feed. ruclips.net/video/e2zpe5T_Jf0/видео.html
Hope this helps :)
Is it possible to combine structured data (like JSON from a database or API) with unstructured data (like documents and audio) using the RAG pattern? I want to help customer care agents quickly call or email customers to share extra documents based on their structured data (employment type, age, etc.) and existing documents shared by customer. The mandatory document list and rules for each customer type are in a our internal wiki/CRM website. Should we try it with Multitenant Azure search? I still not clear how can I integrate my Json data that can be used to query.
When is GA for integrated vectorization?
what file format gives the best results? pdf json files or office docs
what kind of file format did CHR to have their bot point to the files on the website?