Semantic recall is the embedding-based retrieval step that finds memories relevant to the current message, even when the wording has changed since the original fact was stored.
What is Semantic Recall?
Quick answer
Semantic recall is the embedding-based retrieval step that finds memories relevant to the current message, even when the wording has changed since the original fact was stored.
Full definition
On each inbound message the soul loader embeds the user text with OpenAI's text-embedding-3-small, then runs a pgvector cosine distance search against user_memory, returning the top ten non-structural facts. Trivial messages (short greetings, single emoji, stickers) skip the recall entirely to save tokens and latency.
FAQ
Semantic Recall FAQ.
Common questions about Semantic Recall in the AGNT platform.
Semantic recall is the embedding-based retrieval step that finds memories relevant to the current message, even when the wording has changed since the original fact was stored.
People also ask.
Source: agnt-backend/app/core/soul_loader.py
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What is Semantic Recall? Semantic recall is the embedding-based retrieval step that finds memories relevant to the current message, even when the wording has changed since the original fact was stored. https://agntdot.com/glossary/semantic-recall
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See it in action.
Now you know what Semantic Recall means. Try the live scan demo or read the developer docs to go deeper.