What is TurboSeek
TurboSeek is an open-source AI search engine, technically supported by Together.ai. Built on a modern tech stack, including Next.js, Tailwind, the Bing Search API, and advanced language models Mixtral 8x7B and Llama-3, it provides users with a fast, intelligent search experience. TurboSeek receives user questions, obtains results based on the Bing API, scrapes content and combines it with context, and uses AI models to generate answers and provide follow-up question suggestions. TurboSeek plans to add multiple features, such as result caching and user authentication, to enhance the user experience.
TurboSeek's main features
- Intelligent search: Receives the question entered by the user, searches using the Bing Search API, and displays the first 6 search results.
- AI model processing: Sends the user's question and contextual information to the Mixtral-8x7B model to obtain an answer, which is streamed back to the user.
- Follow-up question generation: Generates 3 related follow-up questions based on the Llama-3-8B model for users to choose from and explore information in greater depth.
- Local deployment: Supports users in cloning the codebase and running TurboSeek in a local environment for personalized configuration and use.
TurboSeek's technical principles
- Search result retrieval: Uses the Bing Search API to obtain the first 6 search results related to the question.
- Content extraction: Extracts text content from search result links as contextual information.
- AI model inference: Sends the extracted context together with the user's question to the Mixtral-8x7B model for processing, and the model generates an answer based on the information.
- Streaming answer transmission: Returns the answer generated by the AI model to the user in real time in a stream, providing instant feedback.
- Follow-up question recommendations: Uses the Llama-3-8B model to propose follow-up questions based on the user's question and the retrieved content, increasing interaction depth.
TurboSeek's project address
- Project official website：turboseek.io
- GitHub repository：https://github.com/Nutlope/turboseek
TurboSeek's application scenarios
- Academic research: Researchers and students use TurboSeek to quickly find academic papers, research reports, and other academic resources, supporting research work.
- News tracking: Journalists and news enthusiasts use TurboSeek to track major domestic and international events and hot topics, and obtain real-time updated news content.
- Technical documentation search: Developers and technical personnel search technical resources such as programming language documentation, API references, development tools, and frameworks.
- Market analysis: Market analysts and business decision-makers use TurboSeek to collect industry reports, competitor analysis, and market trend data.
- Personal knowledge management: Individual users use TurboSeek to organize and retrieve personally saved articles, blogs, and web pages, building a personal knowledge base.