About LangSearch
LangSearch is a web search API and semantic rerank API designed to connect LLM applications to the world, providing clean, accurate, and high-quality context. It supports natural language search and offers enhanced search details from billions of web documents, including news, images, and videos. LangSearch uses a hybrid search database and semantic reranker, supporting mixed keyword and vector searches, and employs an advanced LangSearch Ranker Model to boost search result accuracy.
How to Use
Integrate the LangSearch API directly or use LLM tools and AI agent plugins in your applications. The API can be called flexibly, supporting custom filtering conditions. Use the provided curl command or LLM tools like LangChain for integration.
Key Features
- Web Search API supporting natural language search
- Semantic Rerank API
- Hybrid search database supporting mixed keyword and vector searches
- LangSearch Ranker Model for improved search accuracy
- Easy integration with LLM tools and AI agent plugins
Use Cases
- Enhancing search details in LLM applications
- Improving the accuracy of search results
- Connecting LLM applications to real-world data
- Building AI Agents, AI Chatbots, AI Search, and RAG applications
Key Features
Pros & Cons
- Completely free for individuals and small teams, no hidden costs
- High accuracy through hybrid keyword/vector search and advanced reranker
- Fast inference with small model size (80M params) outperforming larger models
- Rich context retrieval including news, images, and videos
- Flexible integration with popular LLM frameworks and custom workflows
- Free tier may have rate limits for high-volume usage (not explicitly stated)
- Limited to web search and semantic rerank—not a general-purpose AI platform
- No enterprise-specific features (e.g., dedicated support, SLAs) currently mentioned
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