An overview of relevant training datasets for RAG-style prompt generation and chaining:
altinn-studio-docs repo or docs.altinn.studio website
Altinn Studio Designer schema files (contains descriptive texts for objects and individual properties)
Github Issues, Pull requests and Releases (contain valuable and up to date descriptions of changes made to Studio)
Slack conversations (QA style conversations)
In scope
In a multi-query workflow, a single incoming query can be forwarded to multiple search backends and combined using techniques such as Reciprocal rank fusion
Description
An overview of relevant training datasets for RAG-style prompt generation and chaining:
In scope
In a multi-query workflow, a single incoming query can be forwarded to multiple search backends and combined using techniques such as Reciprocal rank fusion
See also Ensemble Retriever
Pagesense support similarity and hybrid search within the same index, see Pagesense docs