Infrastructure for intelligent systems.

Store, filter, and search dense and sparse vectors on regional Amazon S3 storage, with an API built for production workloads.

Create an index

RAG that answers with the right context.

Turn contracts, reports, scans, spreadsheets, and knowledge bases into the retrieval layer for your RAG application. Talqora processes, chunks, indexes, and keeps every source current so answers are grounded in useful evidence.

Read about RAG

Used by teams at

Your files become search infrastructure.

Drop a contract, workbook, slide deck, scan, or knowledge base. Talqora processes it serverlessly and makes every useful part ready for dense, sparse, and hybrid retrieval.

Process a file

PDF and scanned documentsOffice and spreadsheetsImages and structured textUsage that follows the work

Vibecode, but not your infra.

Implement docs.talqora.com

The cheapest vector storage in the world.

talqora $0$0.075 / GBStorage + queries~$0.10

Pinecone$50$0.33 / GBRead + write units~$16.00

Weaviate$45$0.12 / GiBCluster + usage~$4.00

Turbopuffer$16$0.10 / GBStorage + queries~$0.50

Qdrant$25$0.14 / GBCPU + RAM + disk~$6.50

Cloudflare Vectorize$5$0.13 / GB-eq.Stored + queried dimensions~$15.40

Zilliz Cloud$0$0.10 / GB-eq.Serverless read + write units~$8.00

How we calculated it: published entry prices and usage rates, normalized to a 1,536-dimension workload and 1,000,000 queries. Storage equivalents convert each vendor's native dimensions, units, or resource pricing to a readable GB baseline. Query figures are directional estimates, not quotes.

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