exa-core-workflow-b
Execute Exa findSimilar, getContents, answer, and streaming answer workflows. Use when finding pages similar to a URL, retrieving content for known URLs, or getting AI-generated answers with citations. Trigger with phrases like "exa find similar", "exa get contents", "exa answer", "exa similarity search", "findSimilarAndContents".
Best use case
exa-core-workflow-b is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Execute Exa findSimilar, getContents, answer, and streaming answer workflows. Use when finding pages similar to a URL, retrieving content for known URLs, or getting AI-generated answers with citations. Trigger with phrases like "exa find similar", "exa get contents", "exa answer", "exa similarity search", "findSimilarAndContents".
Teams using exa-core-workflow-b should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/exa-core-workflow-b/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How exa-core-workflow-b Compares
| Feature / Agent | exa-core-workflow-b | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Execute Exa findSimilar, getContents, answer, and streaming answer workflows. Use when finding pages similar to a URL, retrieving content for known URLs, or getting AI-generated answers with citations. Trigger with phrases like "exa find similar", "exa get contents", "exa answer", "exa similarity search", "findSimilarAndContents".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Exa Core Workflow B — Similarity, Contents & Answer
## Overview
Secondary Exa workflow covering three endpoints beyond search: `findSimilar` (discover pages semantically related to a URL), `getContents` (retrieve text/highlights for known URLs), and `answer` (get AI-generated answers with web citations). These complement the primary search workflow in `exa-core-workflow-a`.
## Prerequisites
- `exa-js` installed and `EXA_API_KEY` configured
- Familiarity with `exa-core-workflow-a` search patterns
## Instructions
### Step 1: Find Similar Pages
```typescript
import Exa from "exa-js";
const exa = new Exa(process.env.EXA_API_KEY);
// findSimilar takes a URL (not a query string) and returns
// pages with semantically similar content
const similar = await exa.findSimilar(
"https://openai.com/research/gpt-4",
{
numResults: 10,
excludeSourceDomain: true, // exclude openai.com from results
startPublishedDate: "2024-01-01T00:00:00.000Z",
excludeDomains: ["reddit.com", "twitter.com"],
}
);
for (const r of similar.results) {
console.log(`${r.title} — ${r.url}`);
}
```
### Step 2: Find Similar with Contents
```typescript
// findSimilarAndContents combines similarity search + content extraction
const results = await exa.findSimilarAndContents(
"https://huggingface.co/blog/llama3",
{
numResults: 5,
text: { maxCharacters: 2000 },
highlights: { maxCharacters: 500, query: "open source LLM" },
excludeSourceDomain: true,
}
);
for (const r of results.results) {
console.log(`## ${r.title}`);
console.log(`URL: ${r.url}`);
console.log(`Highlights: ${r.highlights?.join(" | ")}`);
console.log(`Text preview: ${r.text?.substring(0, 300)}...\n`);
}
```
### Step 3: Get Contents for Known URLs
```typescript
// getContents retrieves page content for a list of URLs you already have
// Useful when you have URLs from a previous search or external source
const contents = await exa.getContents(
[
"https://arxiv.org/abs/2401.00001",
"https://arxiv.org/abs/2401.00002",
"https://blog.example.com/article",
],
{
text: { maxCharacters: 3000 },
highlights: { maxCharacters: 500 },
summary: { query: "key findings and methodology" },
livecrawl: "preferred", // try fresh, fall back to cache
livecrawlTimeout: 15000, // 15s timeout
// Subpage crawling: retrieve linked pages from each URL
subpages: 3, // crawl up to 3 subpages per URL
subpageTarget: "documentation", // find subpages matching this term
}
);
for (const r of contents.results) {
console.log(`${r.title}: ${r.text?.length || 0} chars`);
if (r.summary) console.log(`Summary: ${r.summary}`);
}
```
### Step 4: AI-Powered Answer with Citations
```typescript
// answer() searches the web and returns an AI-generated answer with sources
const answer = await exa.answer(
"What are the key differences between RAG and fine-tuning for LLMs?",
{
text: true,
// The answer response includes citations linking to source results
}
);
console.log("Answer:", answer.answer);
console.log("\nSources:");
for (const r of answer.results) {
console.log(` - ${r.title}: ${r.url}`);
}
```
### Step 5: Streaming Answer
```typescript
// streamAnswer returns chunks as they're generated
for await (const chunk of exa.streamAnswer(
"What is the current state of quantum computing in 2025?"
)) {
if (chunk.content) {
process.stdout.write(chunk.content);
}
if (chunk.citations) {
console.log("\n\nCitations:", JSON.stringify(chunk.citations, null, 2));
}
}
```
## Output
- Similar pages discovered from a seed URL
- Page content (text, highlights, summary) for known URLs
- AI-generated answers with web source citations
- Streaming answer chunks for real-time display
## Error Handling
| Error | HTTP Code | Cause | Solution |
|-------|-----------|-------|----------|
| `INVALID_URLS` | 400 | Malformed URLs in getContents | Validate URLs have protocol |
| `CRAWL_NOT_FOUND` | 404 | Content unavailable at URL | Verify URL is accessible |
| `CRAWL_TIMEOUT` | 504 | Live crawl exceeded timeout | Increase `livecrawlTimeout` |
| `SOURCE_NOT_AVAILABLE` | 403 | Paywalled or blocked content | Try without `livecrawl: "always"` |
| `UNABLE_TO_GENERATE_RESPONSE` | 501 | Insufficient data for answer | Rephrase query or add context |
| Empty `similar.results` | 200 | Seed URL not indexed | Try a more popular seed URL |
## Examples
### Competitive Intelligence Pipeline
```typescript
async function findCompetitors(companyUrl: string) {
// Find companies similar to a given company
const similar = await exa.findSimilarAndContents(companyUrl, {
numResults: 10,
excludeSourceDomain: true,
text: { maxCharacters: 500 },
category: "company",
});
return similar.results.map(r => ({
name: r.title,
url: r.url,
description: r.text?.substring(0, 200),
}));
}
```
### Batch URL Content Retrieval
```typescript
async function enrichUrls(urls: string[]) {
// Process URLs in batches to stay within rate limits
const batchSize = 10;
const allContents = [];
for (let i = 0; i < urls.length; i += batchSize) {
const batch = urls.slice(i, i + batchSize);
const contents = await exa.getContents(batch, {
text: { maxCharacters: 1500 },
summary: { query: "main topic and key points" },
});
allContents.push(...contents.results);
}
return allContents;
}
```
## Resources
- [Exa Find Similar](https://docs.exa.ai/reference/find-similar-links)
- [Exa Get Contents](https://docs.exa.ai/reference/get-contents)
- [Exa Contents Retrieval](https://docs.exa.ai/reference/contents-retrieval)
## Next Steps
For common errors, see `exa-common-errors`. For SDK patterns, see `exa-sdk-patterns`.Related Skills
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