Yavy

About Yavy

Yavy turns any public website into a server that exposes its content to compatible AI assistants. Paste a URL and Yavy will crawl, index using semantic embeddings, and serve the documented content so you no longer need to copy-paste pages into chat.

Review

Yavy targets documentation-heavy sites like developer docs, help centers, blogs, and knowledge bases, with a focus on improving the factual basis of AI responses. The setup process is intended to be quick and code-free, and the service emphasizes accuracy by indexing page content in smaller chunks for better matching.

Key Features

• URL-based crawl and index: paste a public URL and Yavy discovers and ingests documentation pages.
• Chunk-based semantic indexing: content is split and embedded to improve retrieval accuracy for meaning-based queries.
• Configurable refresh and crawl controls: scheduled refreshes, depth and concurrency caps, and respect for robots.txt and sitemap directives.
• Organization and team access: manage multiple sources, organize projects, and share access with teammates.

Pricing and Value

The launch notes mention free options, but detailed pricing tiers and enterprise plans are not listed on the public page. The core value proposition is time saved and fewer hallucinated answers by letting AI assistants query the actual site content instead of relying on pasted snippets or memory. For teams maintaining documentation, that accuracy and reduced workflow friction can offset the cost once pricing details are chosen.

Pros

• Very quick, no-code setup for turning public docs into an indexed source for AI assistants.
• Reduces incorrect or fabricated answers by routing queries to actual site content.
• Chunked semantic indexing improves relevance compared with whole-page indexing.
• Controls for crawl behavior and refresh frequency help limit unnecessary re-indexing and respect site rules.

Cons

• Primarily for public sites; indexing private or behind-auth content requires additional work or is not supported out of the box.
• Updates are snapshot-based with configurable refresh intervals rather than continuous real-time syncing, which can introduce short delays between content changes and availability.
• At launch, detailed pricing and high-scale enterprise capabilities are not fully documented, so larger organizations may need to reach out for specifics.

Overall, Yavy is best suited for documentation owners, developer teams, and support groups that want their AI assistants to reference actual site content and reduce incorrect answers. It's a practical option for public knowledge bases and blogs; organizations needing private or instant-sync indexing should verify feature fit before adopting.

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