Vectis v2.0 – Neural search infrastructure for modern apps

Summary: Vectis v2.0 is a production-ready semantic search engine offering 5-10x faster CSV ingestion, 70% memory reduction, and built-in caching, enabling efficient processing of million-row CSVs on 1GB RAM.

What it does

It accelerates CSV ingestion and reduces memory usage while providing semantic search capabilities through a compact 22MB binary.

Who it's for

Developers and teams needing scalable, efficient semantic search for large CSV datasets in resource-constrained environments.

Why it matters

It enables fast, memory-efficient processing of large datasets on limited hardware, improving search performance and resource use.