How to automatically chunk, embed, and index PDFs and documents for AI retrieval

How to automatically chunk, embed, and index PDFs and documents for AI retrieval

This task can be performed using Orchata

Knowledge infrastructure for AI agents. Fast by default.

Best product for this task

Orchat

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.

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What to expect from an ideal product

  1. Upload your PDFs and documents directly to Orchata and it automatically breaks them into smart chunks without you needing to figure out the technical details
  2. All document embedding happens behind the scenes using optimized models, so you don't have to choose or manage embedding systems yourself
  3. Documents get indexed instantly after upload, making them searchable and ready for your AI agents to use right away
  4. Retrieve relevant information from your documents in under 150ms through simple API calls or the TypeScript SDK
  5. Skip the hassle of setting up and maintaining vector databases - Orchata handles all the infrastructure so you can focus on building your application

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