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Prompts and AI responses
Explore the buyer questions AI assistants answer, the software they recommend, and the public sources behind those responses.
Data period: 2026-07-13 - 2026-07-20. Published .
What indexing methods do you support for approximate nearest-neighbor search?
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Can I combine vector search with metadata filters and keyword search?
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How do you handle scaling, replication, and multi-tenancy?
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What are the latency and recall trade-offs for large embedding sets?
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Does it support hybrid search for RAG applications?
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How are embeddings ingested, updated, and deleted?
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What security and access controls are available?
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Can it run as a managed service and self-hosted deployment?
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Yes—if you mean OpenAI’s open-weight models (gpt-oss), they can run both ways: as a managed hosting option through hosting partners, or as a self-hosted deployment on infrastructure you control. OpenAI says these deployments are self-managed/self-serviced when self-hosted, and that the models are designed to run on your own premises, private cloud, or through a hosting partner. (help.openai.com) Recommendation: - Best for managed service: use a hosting partner for gpt-oss. - Best for self-hosted: deploy gpt-oss on your own cloud or on-prem infrastructure. (help.openai.com) If you’re asking about a specific product rather than OpenAI’s open-weight models, send me the product name and I’ll tell you whether it supports managed service, self-hosted, or both.
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