LangSearch is a cutting-edge platform designed to connect Large Language Model (LLM) applications to the world, providing clean, accurate, and high-quality context through its Web Search API and Semantic Rerank API. Positioned as 'The World Engine For AGI,' LangSearch empowers developers and businesses to enhance their AI applications with natural language search capabilities, enabling them to access and analyze billions of web documents, including news, images, videos, and more. The platform supports mixed keyword and vector searches, leveraging a hybrid search database and a state-of-the-art semantic reranker to boost search result accuracy. LangSearch is particularly beneficial for AI Agents, AI Chatbots, AI Search, and Retrieval-Augmented Generation (RAG) applications, offering easy integration with LLM tools and AI agent plugins. With its absolutely free tier requiring no credit card, LangSearch is accessible to a wide range of users, from individual developers to large enterprises, making it a versatile solution for various AI-driven projects.
คุณสมบัติเด่น
Natural Language Search API
Semantic Rerank API
Hybrid Search Database
Transformer-based Rerank Model
Easy Integration with LLM Tools
AI Agent Plugins
Custom Filtering Conditions
Support for Mixed Keyword and Vector Searches
High-Quality Context Extraction
Free Tier with No Credit Card Required
การใช้งาน
An AI developer integrates the LangSearch Web Search API into their chatbot to provide users with accurate and contextually relevant search results based on natural language queries.
A data scientist uses the Semantic Rerank API to enhance the accuracy of search results in their AI-driven research tool, ensuring that the most relevant documents are prioritized.
An enterprise AI team leverages LangSearch's hybrid search database to build a custom AI search application that supports both keyword and vector searches for their internal knowledge base.
A startup in the AI space utilizes LangSearch's easy integration with LLM tools to quickly prototype and deploy an AI agent that can answer complex user queries with high-quality context.
An AI researcher employs LangSearch's transformer-based rerank model to improve the performance of their AI search engine, achieving faster inference and lower costs while maintaining high accuracy.
คำถามที่ถามบ่อย
Q:
What is LangSearch?
A:
LangSearch is a platform that provides a Web Search API and Semantic Rerank API to connect Large Language Model (LLM) applications to the world, enabling natural language search and high-quality context extraction.
Q:
What does LangSearch offer?
A:
LangSearch offers a Web Search API, Semantic Rerank API, hybrid search database, transformer-based rerank model, and easy integration with LLM tools and AI agent plugins.
Q:
How to integrate LangSearch API?
A:
You can integrate the LangSearch API directly into your applications using the provided API endpoints, or use LLM tools and AI agent plugins for seamless integration.
Q:
What to use LangSearch for?
A:
LangSearch can be used for enhancing AI Agents, AI Chatbots, AI Search, and Retrieval-Augmented Generation (RAG) applications with natural language search and high-quality context extraction.
Q:
How to get started with LangSearch?
A:
You can get started with LangSearch by signing up for a free account on the LangSearch website and accessing the API documentation to begin integration.
Q:
Is LangSearch free?
A:
Yes, LangSearch offers a free tier that requires no credit card, making it accessible to a wide range of users.
Q:
What is the LangSearch Rerank model?
A:
The LangSearch Rerank model is a transformer-based model that achieves high ranking performance with fewer parameters, offering faster inference and lower cost.
Q:
Can LangSearch be used for enterprise applications?
A:
Yes, LangSearch is suitable for enterprise applications, providing features like hybrid search, custom filtering, and easy integration with AI tools.
Q:
What types of searches does LangSearch support?
A:
LangSearch supports mixed keyword and vector searches, leveraging a hybrid search database and semantic reranker to boost accuracy.
Q:
Where can I find LangSearch documentation?
A:
You can find LangSearch documentation on the official LangSearch website under the 'Docs' section.
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