About

Retrieval infrastructure for systems that need evidence

Talqora is an API-first vector storage and retrieval product for teams building production search, retrieval-augmented generation, and agent workflows. An organization creates regional indexes, writes dense vectors or sparse text, processes files asynchronously, and queries for grounded results through one consistent API. We focus on the operational pieces that make retrieval dependable after the prototype: clear authorization boundaries, metadata filters, observable processing jobs, predictable limits, and usage history.

Dense vectors and filterable metadata are routed to the selected regional storage layer. Sparse text supports lexical retrieval, and the API combines those independent signals for hybrid search when the selected index supports it. File processing follows a durable job lifecycle so teams can see whether a source is queued, being processed, completed, or needs attention. Existing sources remain available while a replacement is processed, which keeps retrieval stable during updates.

Talqora is designed for developers and AI agents alike. API keys are scoped to the indexes and capabilities they need, with read access for retrieval and write access only where ingestion is intentional. Public resources at get-started.md, llms.txt, openapi.json, and the developer portal explain how to evaluate and integrate the service. For product, security, or deployment questions, contact the Talqora team.