Query uploaded documents from an AI agent under 150ms using Orchata

This task can be performed using Orchata

Knowledge infrastructure for AI agents. Fast by default.

Best product for this task

Orchata

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Orchata is the fastest way to give your AI agents access to knowledge. Upload PDFs, docs, or markdown, and we handle chunking, embedding, and indexing automatically. Query from anywhere via our TypeScript SDK, REST API, or native MCP server. Built for real-time applications with sub-150ms P50 retrieval. No vector database to manage, no infrastructure to maintain.

RAGAI InfrastructureVector SearchMCPDeveloper ToolsAPIKnowledge ManagementEmbeddingsLLMAI Agents

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What to expect from an ideal product

1. Upload PDFs, markdown, or docs and Orchata handles chunking, embedding, and indexing automatically, so your agent is querying real content in minutes, not days.
2. Sub-150ms P50 retrieval means your AI agent gets answers fast enough for live user interactions, not just offline batch processing.
3. Connect via TypeScript SDK, REST API, or MCP server, so Orchata fits into whatever stack you are already building on.
4. No vector database to provision, scale, or debug. Orchata manages the entire retrieval infrastructure so your team ships features instead of maintaining pipelines.
5. Built specifically for AI agents that need to pull from uploaded documents at runtime, not for static search bars or one-off summarization tools.

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