# Create Exa Search Feed

## User Intent

"How do I search the web with semantic/neural search using Exa? Show me Exa search feed configuration."

**Note**: Exa API key is not required. Graphlit provides Exa access by default and bills you for usage.

## Operation

**SDK Method**: `createFeed()` with FeedTypes.Search\
**Auth**: None required (Graphlit provides Exa access, bills you for usage)

***

## Code Example (TypeScript)

```typescript
import { Graphlit } from 'graphlit-client';
import { FeedTypes, SearchServiceTypes } from 'graphlit-client/dist/generated/graphql-types';

const graphlit = new Graphlit();

const feed = await graphlit.createFeed({
  name: 'AI Research Papers',
  type: FeedTypes.Search,
  search: {
    type: SearchServiceTypes.Exa,
    text: 'machine learning transformers research',
    readLimit: 20,
  },
  // Optional: add workflow for content processing
  // workflow: { id: workflow.createWorkflow.id }
});

console.log(`Created Exa search feed: ${feed.createFeed.id}`);
```

***

## Configuration

**text**: Natural language search query\
**readLimit**: Number of results per execution\
**type**: `SearchServiceTypes.Exa`

***

## What Makes Exa Different

**Neural Search**: Uses embeddings to find semantically similar content, not just keyword matches

**Content Quality**: Optimized for high-quality web content (articles, research, documentation)

**Recency**: Can prioritize recent content

***

## Use Cases

**Research Papers**:

```typescript
text: 'transformer architecture improvements 2024'
```

**Technical Articles**:

```typescript
text: 'distributed systems consensus algorithms explained'
```

**Company Research**:

```typescript
text: 'startups using GraphQL in production'
```

**Thought Leadership**:

```typescript
text: 'AI safety alignment research latest developments'
```

***

## Exa vs Tavily

**Use Exa when:**

* You want semantic/neural search
* Looking for high-quality long-form content
* Researching specific topics in depth
* Need technical documentation or papers

**Use Tavily when:**

* You want traditional keyword search
* Need real-time news updates
* Prefer broader web coverage
* Want faster results

***

***

## ⚠️ ExaCode Limitation

**ExaCode is not available as a feed**. ExaCode returns only Markdown content (no URLs to ingest), so it can only be used via the `searchWeb()` SDK method for direct retrieval, not as a continuous feed.

For code and technical documentation search as a feed, use regular Exa search with code-focused queries.

***

## Related

* [Tavily Search](/api-guides/use-cases/feeds/web/feed-create-tavily-search.md) - Traditional web search
* [Podscan Search](/api-guides/use-cases/feeds/web/feed-create-podscan-search.md) - Podcast search


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.graphlit.dev/api-guides/use-cases/feeds/web/feed-create-exa-search.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.