> ## Documentation Index
> Fetch the complete documentation index at: https://docs.replyke.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Semantic search and AI-powered Q&A over your project content

Replyke's Search & AI features use vector embeddings to power natural language search and question answering across all content in your project — entities, comments, chat messages, users, and spaces.

<Note>
  Semantic search and AI features require embeddings to be enabled for your project. Configure this in the Replyke dashboard under **Settings → Semantic Search / AI**.
</Note>

## Search

Search returns the most semantically similar records to a given query. Results include a `similarity` score alongside the matched record.

## AI Q\&A

`useAskContent` lets users ask natural language questions and receive synthesized answers generated from your project's content. The response streams token by token via SSE (Server-Sent Events) and includes source citations.

## In This Section

<CardGroup cols={2}>
  <Card title="Semantic Search" href="/sdk/search/semantic-search">
    Search entities, comments, messages, users, and spaces by natural language query
  </Card>

  <Card title="Ask" href="/sdk/search/ask">
    Ask a question and stream a generated answer with source links
  </Card>
</CardGroup>

## Hooks

<CardGroup cols={2}>
  <Card title="useSearchContent" href="/hooks/search/use-search-content">
    Search entities, comments, and messages by natural language
  </Card>

  <Card title="useSearchUsers" href="/hooks/search/use-search-users">
    Find users by name, bio, or other profile text
  </Card>

  <Card title="useSearchSpaces" href="/hooks/search/use-search-spaces">
    Find spaces by name, description, or topic
  </Card>

  <Card title="useAskContent" href="/hooks/search/use-ask-content">
    Ask a question and receive a streamed, cited answer
  </Card>
</CardGroup>