Vectis v2.0

What it does

Production-ready semantic search engine. 5-10x faster CSV ingestion, 70% memory reduction, built-in caching. Process million-row CSVs on 1GB RAM. Single 22MB binary. Check out the solution and let me know the feedbacks.

Production-ready semantic search engine. 5-10x faster CSV ingestion, 70% memory reduction, built-in caching. Process million-row CSVs on 1GB RAM. Single 22MB binary.

Process million-row CSVs on 1GB RAM. 5-10x faster ingestion. 10x faster cached queries. Single 22MB binary. Zero dependencies. Version 2.0 brings massive optimizations for CSV ingestion and search Process 100 rows concurrently using Rust futures. 5-10x throughput improvement. Near-linear scaling on multi-core systems (4 cores = 1,400 rows/sec). SHA256 content hashing automatically skips unchanged rows. Re-upload your CSV in under 1 second. Perfect for daily product catalog updates. Process million-row CSVs on 1GB RAM. 1000-row batches with pre-allocated vectors. Runs on AWS free tier (t2.micro). Per-user cache with 60s TTL. 100 queries per user. 10x faster repeated searches. 70-80% cache…from vectis-webpage.vercel.app

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