LangSearch is a powerful web search and semantic rerank API designed to connect LLM applications to the world with clean, accurate, and high-quality context. It provides access to billions of web documents, including news, images, videos, and more, using natural language search. The API supports mixed keyword and vector searches through a hybrid search database, enhanced by the advanced LangSearch Ranker Model. This model achieves ranking performance comparable to 280M-560M parameter models with only 80M parameters, offering faster inference and lower cost.
Key features include customizable filtering conditions, seamless integration via LLM function calls, and search result formats optimized for AI agents, chatbots, search, and RAG applications. LangSearch is ideal for developers building AI-driven tools that require real-time, relevant web data. Use cases include enhancing AI chatbots with up-to-date information, powering AI search engines with accurate results, and enriching RAG systems with diverse web content.
Technical details: LangSearch API supports natural language queries, returning structured results with snippets, URLs, and metadata. The rerank API improves result relevance by reordering based on semantic similarity. Integration is straightforward via RESTful endpoints, with SDKs available for popular programming languages. LangSearch is free to start, with scalable pricing for higher usage. It is built for performance and reliability, ensuring low latency and high throughput for production applications.
AI developers, LLM application builders, chatbot creators, search engine developers, RAG system engineers, data scientists
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