Resources · Blog
How we build search that agents can trust: the feature releases and engineering write-ups along the way.
One API call duplicates a collection's documents, chunks, embeddings and custom metadata under a new name, reusing the index you already built.
5 min read
Benchmarks, engineering write-ups,
and launch notes.
Elasticsearch ships without parsing, OCR, chunking, embeddings, connectors or sync. Teams add four to seven vendors to cover the gaps, then own every seam between them. Captain includes all of it behind one index call.
5 min read
Cloudflare AI Search caps files at 4 MB, chunks at a token count and metadata at five fields, because it runs on Workers and Vectorize. Captain has no file size cap, picks optimal chunk boundaries, and stores whatever metadata you send.
6 min read
Google's RAG Engine ships the parts: a layout parser, an embedding model, a vector store and a reranker, each set up, billed and maintained on its own. Hybrid search needs sparse vectors you compute yourself, and import is a batch job with no rollback. Captain does all of it in one call from your bucket.
5 min read
One API call duplicates a collection's documents, chunks, embeddings and custom metadata under a new name, reusing the index you already built.
5 min read
Ragie's hosted service will end on Sunday, July 19, 2026. To help customers keep their applications running, many Ragie customers have been migrating to Captain.
9 min read
We've been busy this holiday season, shipping optimizations throughout the stack. I'm thrilled to announce the stable release of our v2 API, among other product updates.
4 min read
