Jina is an AI-powered search foundation that enables developers to build fast, scalable, and customizable semantic search and retrieval applications. It provides configurable browser-driven scraping, content conversion, and API controls to optimize data ingestion and querying.

Key Features:

• High-rate API with optional API key for elevated throughput and rate limits
• Configurable browser engine, timeouts, token budgets, and extraction options for robust content fetching
• Advanced preprocessing: CSS selectors, iframe/shadow DOM extraction, image handling, captions, and proxy/localization controls

Use Cases:

• Building semantic search and retrieval systems over web, PDF, and HTML content
• Web scraping and structured extraction with selector targeting and wait/exclude rules
• Content ingestion pipelines for LLMs with token budget, format, and reader conversion settings

Benefits:

• Improves search relevance and speed with specialized browser and conversion pipelines
• Flexible controls reduce noise and tailor extraction to application needs, saving downstream processing time
• Enterprise-ready options (proxy, caching, locale, privacy controls) for secure, compliant deployments