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

# Paperscope

> Search, explore, and chat with 6,000 AI research papers using hybrid search, similar documents, and conversational search

<Info>
  **Live demo**: [paperscope-one.vercel.app](https://paperscope-one.vercel.app)
</Info>

Paperscope indexes around 6,000 AI and machine learning papers from arXiv, enriched with citation counts from Semantic Scholar. Type a title, an author, or describe an idea in your own words: Meilisearch matches both the words and the meaning. Open any paper to find related work, then ask questions across the whole corpus, your reading list, or a single paper.

<img src="https://mintcdn.com/meilisearch-6b28dec2/0UjPeEQ3J8rC88I0/assets/images/demos/paperscope-demo.png?fit=max&auto=format&n=0UjPeEQ3J8rC88I0&q=85&s=646e4654af683b615bdac436de2a9803" alt="Paperscope search page showing a hybrid search for &#x22;attention is all you need&#x22; with category and year facets" width="2000" height="1264" data-path="assets/images/demos/paperscope-demo.png" />

## Key features

* **Hybrid search slider**: Move from exact words to meaning in real time by changing `semanticRatio`. The results header shows how many papers were found only by meaning, using `semanticHitCount`.
* **Built-in embeddings**: Documents and queries are embedded inside Meilisearch with a HuggingFace model (`BAAI/bge-small-en-v1.5`), with no external embedding service.
* **Similar papers**: Each paper lists its nearest neighbours from the `/similar` endpoint, optionally filtered to the same arXiv category.
* **Faceted navigation**: Filter by category, topic, author, and year. The year slider uses `facetStats`, and the author box uses facet search.
* **Citation-aware ranking**: A custom ranking rule on `citationCount` breaks ties in favor of influential papers, and results can be sorted by citations or date.
* **Multi-search**: Papers and matching authors come back in a single request across two indexes.
* **Chat with the papers**: The "Ask the papers" page uses the `/chats` route. The LLM runs hybrid searches as a tool and streams its progress and sources.
* **Scoped chat with tenant tokens**: Chatting with a reading list or a single paper uses a short-lived tenant token whose search rule restricts retrieval to those papers.

## Links

<CardGroup cols={2}>
  <Card title="Try the demo" icon="globe" href="https://paperscope-one.vercel.app">
    Search and chat with AI research papers
  </Card>

  <Card title="Hybrid search" icon="magnifying-glass" href="/docs/capabilities/hybrid_search/overview">
    Combine keyword and semantic search
  </Card>

  <Card title="Chat route" icon="message-bot" href="/docs/capabilities/agentic_search/overview">
    Learn about the chat route
  </Card>

  <Card title="Tenant tokens" icon="lock" href="/docs/capabilities/security/overview">
    Restrict what each user can search
  </Card>
</CardGroup>
