Semantic Memory

This page covers extracting permanent customer facts, preferences, and commitments into vector embeddings.

Fact Extraction

Content coming soon.

Asynchronous background worker analyzing post-call and post-chat transcripts
Identifying key user preferences, constraints, and commitments

Vector Similarity Retrieval

Content coming soon.

Converting extracted customer facts into searchable vector embeddings
Sub-50ms retrieval to inject customer background into the agent at call inception