megachangelog
Improvement

Vectorize - Reduced end-to-end latency for vector changes

Improved write-ahead log throughput to reduce end-to-end latency for vector operations. Median latency dropped from 2 minutes to under 30 seconds, and p99 latency from 5 minutes to under 2 minutes, making inserts, upserts, and deletes appear in query results faster without requiring code changes.

We have greatly improved the throughput of the Vectorize write-ahead log (WAL) ↗. As a result, we have significantly reduced the end-to-end latency for a vector change to become queryable: median latency has dropped from 2 minutes to under 30 seconds, and p99 latency from 5 minutes to under 2 minutes.

Vectorize p99 WAL batch end-to-end latency improved

This means inserts, upserts, and deletes are reflected in query results faster, improving the freshness of semantic search, recommendation, and retrieval-augmented generation (RAG) workloads. You do not need to change your code or configuration to benefit from this improvement.

For more information, refer to the Vectorize documentation.

vectorizeperformancelatencyvectorsdatabases

Source: original entry ↗

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