Part 7/10:
Another critical component is the semantic embedding microservice, leveraging Google's Universal Sentence Encoder (USE). This microservice transforms text into 512-dimensional vectors rapidly, enabling real-time, on-device processing without reliance on external APIs like OpenAI.
Performance and Implementation
Embedding a handful of sentences takes approximately 0.03 seconds, demonstrating high efficiency.
Uses the large version 5 of USE, which is significantly faster (roughly 100x) than previous versions.
Produces JSON-serializable embeddings, allowing seamless integration into the broader microservice ecosystem.
This setup supports rapid semantic searches, memory organization, and feeding contextual insights into the agent's decision-making process.