LangSearch

Hello Everyone, As we build the World Engine for AGI, we recognize that AI applications—whether in AI Chatbots, AI Search, or AI Agents—need access to real-time, accurate information. That's why the Web Search API and Rerank API are essential for enhancing retrieval and reducing hallucinations in large models. However, existing solutions like Bing Search API, Exa AI, and Cohere Rerank API are simply too expensive for many developers—at $15 per 1,000 calls, they become an obstacle rather than a resource. At LangSearch, we believe these tools should be accessible to everyone. That's why we're offering two free APIs: the Web Search API and the Rerank API, designed to connect your LLM applications to the world and provide clean, accurate, high-quality context—at no cost. Free Web Search API: - Access enhanced search results from billions of web documents, including news, images, and videos. - Hybrid search combining keywords and vectors for improved accuracy. - Long-text summaries with markdown support for better readability. Free Semantic Rerank API: - Improve search accuracy with semantic reranking. - Boost any existing keyword or vector search system with minimal infrastructure changes. Core Products LangSearch Database A cutting-edge hybrid search database combining traditional and vector-based search for powerful AI-driven applications. LangSearch Reranker A semantic-based ranking model optimized for better search results and enhanced relevance in AI applications. We’re offering free access for individuals and small teams as we build AGI together. Join us, and let’s make this vision a reality.

Congrats!! Curious to know what types of Content & Media data do you have? We are looking for solid twitter/reddit data, can we use yours??

This is impressive but how scalable is the free tier for projects that are expanding? Are there specific limits on usage and how seamless is the transition to paid plans for larger teams?

The team is dedicated to providing the highest quality and most cost-effective search capabilities, with the rerank model performing excellently.

something that we really need! exa sucks, tavily being workable but not good enough. for rerankers we've been using jina and cohere for a while, and we are seeing some space for improvement!