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.
Related Queries
Helpful for people in the following professions
Featured Tools
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.