How pega generate set of content chunks and process it through GenAI and store into Vector store in Pega Knowledge Buddy when a content is ingested.
Does anyone know what is happening in the background technically
@Vikky22 When content is ingested into Pega Knowledge Buddy it is first imported using the REST API service. The system then automatically divides the content into smaller segments or chunks. These chunks are processed through the Pega GenAI gateway where embeddings are generated for each chunk. Finally these embeddings are stored in the GenAI Vector Store making them accessible for future queries.
This is a GenAI-powered tool. All generated answers require validation against the provided references.