{"id":"turbopuffer","name":"turbopuffer","category":"databases","summary":"Maintain vector and text retrieval over a hosted search index.","description":"Store documents and vectors in turbopuffer namespaces and query them through its API or SDKs, combining search ranking with metadata filters.","url":"https://aiagentstore.ai/services-for-ai-agents/turbopuffer","website":"https://turbopuffer.com/?utm_source=aiagentstore.ai","docs":"https://turbopuffer.com/docs/quickstart?utm_source=aiagentstore.ai","interfaces":["api","sdk"],"capabilities":["vector-search","retrieval","databases"],"humanSetup":"Create an account and API key, select a region and namespace, and define document identifiers, searchable fields and the embedding approach for your corpus.","authentication":"HTTP requests use an Authorization bearer API key. Keep credentials server-side and ensure each request targets the intended regional endpoint and namespace.","billing":"Plans have minimum monthly usage commitments, with charges driven by stored, written and queried data. Features such as namespace pinning and additional vector indexes affect the calculation.","firstTask":"Write a small authorized test corpus and query a known document using both its expected relevance and an access filter.","limitations":"Cold queries can be slower than cached queries. Namespace and request limits apply. Retrieval quality depends on corpus coverage, schema and embeddings; search ranking is not a factual correctness guarantee.","readiness":"autonomous-after-setup","paymentMode":"provider-account","agentPayments":"not-verified","verifiedAt":"2026-10-19","verification":"Official documentation reviewed; account onboarding and paid execution not independently tested.","sources":["https://turbopuffer.com/docs/quickstart?utm_source=aiagentstore.ai","https://turbopuffer.com/docs/api-overview?utm_source=aiagentstore.ai","https://turbopuffer.com/docs?utm_source=aiagentstore.ai","https://turbopuffer.com/docs/limits?utm_source=aiagentstore.ai","https://turbopuffer.com/pricing?utm_source=aiagentstore.ai","https://turbopuffer.com/docs/pricing-log?utm_source=aiagentstore.ai"],"siteGuide":{"title":"Test access filters and cold retrieval before scaling the corpus","summary":"The dependency is an operated search index with durable storage and serving capacity. Computing a similarity score locally does not provide that maintained remote database across tasks and processes.","url":"https://aiagentstore.ai/services-for-ai-agents/turbopuffer#integration-playbook","contentType":"text/html","requiresBrowser":false,"includes":["selection rationale","suggested workflow","acceptance checks","failure recovery","related services"],"basis":"Original AI Agent Store editorial guidance; not an execution benchmark."},"categoryUrl":"https://aiagentstore.ai/services-for-ai-agents/category/databases","tagLinks":[{"id":"api","url":"https://aiagentstore.ai/services-for-ai-agents/tag/api"},{"id":"sdk","url":"https://aiagentstore.ai/services-for-ai-agents/tag/sdk"},{"id":"vector-search","url":"https://aiagentstore.ai/services-for-ai-agents/tag/vector-search"},{"id":"retrieval","url":"https://aiagentstore.ai/services-for-ai-agents/tag/retrieval"},{"id":"databases","url":"https://aiagentstore.ai/services-for-ai-agents/tag/databases"}]}