What is LangSearch?
LangSearch provides a powerful Web Search API designed to enhance Large Language Model (LLM) applications. It delivers high-quality context by leveraging natural language search capabilities across billions of web documents, including news, images, videos, and more. The platform supports hybrid search, combining keyword and vector searches with a semantic reranker to improve search result accuracy.
Its core, the LangSearch Rerank model, is based on transformer architecture. This model boasts exceptional ranking performance typically seen in models with 280M-560M parameters, but with only 80M parameters. This streamlined efficiency translates to significant benefits for users, offering both faster inference speeds and lower operational costs.
Features
- Natural Language Search: Enables querying with natural language to retrieve relevant information from a vast database of web documents.
- Hybrid Search: Combines keyword and vector searches for improved search accuracy.
- Semantic Reranker: Employs a transformer-based model to boost the relevance of search results.
- API Integration: Allows direct integration with applications, LLM tools, and AI agent plugins.
- Summary Generation: Provides concise summaries of web content, supporting markdown formatting.
Use Cases
- Enhancing AI Agents with real-time web information.
- Improving the accuracy of search results in custom applications.
- Integrating web search capabilities into LLM-powered chatbots.
- Developing RAG (Retrieval-Augmented Generation) applications.
- Creating custom search workflows with specific filtering conditions.
