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Introduction

Learn how to add document retrieval and semantic search to your app. Grok Collections enables powerful document understanding and retrieval using RAG (Retrieval-Augmented Generation). It allows your app to search, analyze, and answer questions based on large sets of uploaded content. This is ideal for building knowledge bases, document search tools, and domain-specific AI assistants.

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What You Can Build

With Grok Collections, your app can support:
  • Document Search – Let users search across uploaded files and retrieve relevant results instantly.
  • Semantic Search – Go beyond keyword matching and find meaning-based results across documents.
  • Knowledge Bases – Create structured repositories of information that users can query naturally.
  • Domain-Specific Q&A – Enable AI assistants that answer questions based on your own data.
  • File-Based AI Assistants – Allow users to upload documents and interact with them conversationally.

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How It Works

When Grok Collections is enabled, your app can index and store documents in a structured format that AI can understand. Your app can:
  • upload and store documents (PDFs, text, etc.)
  • convert content into embeddings for semantic understanding
  • retrieve the most relevant chunks based on user queries
  • generate responses grounded in your data
This retrieval + generation pipeline ensures answers are accurate and context-aware. You don’t need to manually build search infrastructure, Grok handles indexing, retrieval, and reasoning over your data.

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Example Prompts

You can use prompts like these to implement features: Add document search Add a document search feature to my app that uses Grok Collections to query uploaded files. Add semantic search Add semantic search to my app so users can find relevant content across a library of documents using Grok.

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Common Use Cases

Grok Collections is commonly used for:
  • internal company knowledge bases
  • customer support documentation systems
  • legal or research document search
  • educational content platforms
  • AI copilots trained on private data

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Best Practices

To get the best results:
  • structure documents clearly before uploading
  • split large documents into smaller chunks
  • keep content updated for accurate answers
  • use clear user queries to improve retrieval quality
  • combine with chat interfaces for better UX