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Tavily Crawl API - AI RAG and Search Tool

Overview

Tavily Crawl API is an open-source, beta-stage website crawling API designed to provide high-quality, low-latency content retrieval for retrieval-augmented generation (RAG) and search workflows. Hosted in a public GitHub repository, the project provides resources targeted at beta testers who want to integrate a focused crawling layer into information pipelines. According to the GitHub repository (https://github.com/tavily-ai/tavily-crawl-beta-test), the codebase and documentation are organized to help testers deploy, evaluate, and provide feedback during the beta period. The project emphasizes delivering crawl outputs that are suitable for downstream semantic search and RAG use cases, with an emphasis on speed and data quality. As a beta project, Tavily Crawl API is under active development; the repository acts as the primary source for installation instructions, test resources, example scripts, and the issue tracker for reporting bugs or requesting features. Testers and contributors are encouraged to consult the repository README and open issues for the latest updates and guidance.

Installation

Install via docker:

git clone https://github.com/tavily-ai/tavily-crawl-beta-test.git
cd tavily-crawl-beta-test
docker build -t tavily-crawl-beta .
docker run -p 8080:8080 tavily-crawl-beta

Key Features

  • Open-source GitHub repository with beta resources and example artifacts for testers
  • Website crawling API focused on producing high-quality content for downstream retrieval
  • Low-latency retrieval emphasis tailored for RAG and search integrations
  • Documentation and example scripts targeted at beta-test workflows and feedback collection
  • Repository structured for contributions, issue tracking, and iterative improvements

Community

Community activity is centered on the GitHub repository (issues, PRs, and README). As a beta project, community engagement is driven by testers who file issues, submit patches, and discuss feature requests. Prospective contributors and testers should use the repo issue tracker and README to join the beta, report bugs, and request features; exact community size and activity levels are available on the project’s GitHub page.

Last Refreshed: 2026-01-09

Key Information

  • Category: RAG and Search
  • Type: AI RAG and Search Tool
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