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TurboSeek - An AI-driven, open-source intelligent search engine

TurboSeek is an open-source AI search engine powered by Together.ai. It is based on a modern technology stack, including Next.js, Tailwind, the Bing search API, and advanced language models Mixtral 8x7B and Lla...

What is TurboSeek?

TurboSeek is an open-source AI search engine powered by Together.ai. Based on a modern technology stack, including Next.js, Tailwind, the Bing search API, and advanced language models Mixtral 8x7B and Llama-3, it provides users with a fast and intelligent search experience. TurboSeek receives user questions, retrieves results from the Bing API, crawls the content, combines it with context, and uses AI models to generate answers and provide suggestions for follow-up questions. TurboSeek plans to add features such as result caching and user authentication to enhance the user experience.

TurboSeek's main functions

  • Intelligent Search: Receive questions input by users, use the Bing search API to find them, and display the first 6 search results.
  • AI model processingThe system sends the user's question and context information to the Mixtral-8x7B model, retrieves the answer, and streams it back to the user.
  • Subsequent question generationBased on the Llama-3-8B model, three related follow-up questions are generated for users to choose from, allowing them to explore the information in depth.
  • Local deploymentIt supports users to clone the code repository and run TurboSeek in their local environment for personalized configuration and use.

TurboSeek's technical principles

  • Search results retrievalUse the Bing search API to get the top 6 search results related to your question.
  • Content extractionExtract text content from search result links as contextual information.
  • AI model inferenceThe extracted context and user question are sent to the Mixtral-8x7B model for processing, and the model generates an answer based on the information.
  • Answer streamingThe AI model generates answers and returns them to the user in real time as a stream, providing instant feedback.
  • Recommended follow-up questionsThe Llama-3-8B model is used to ask follow-up questions based on the user's questions and the content obtained, thereby increasing the depth of interaction.

TurboSeek's project address

Application scenarios of TurboSeek

  • academic researchResearchers and students use TurboSeek to quickly find academic papers, research reports, and other academic resources to support their research efforts.
  • News TrackingJournalists and news enthusiasts use TurboSeek to track major domestic and international events and trending topics, and get real-time news updates.
  • Technical document searchDevelopers and technical personnel can search for technical resources such as programming language documentation, API references, development tools, and frameworks.
  • Market AnalysisMarket analysts and business decision-makers use TurboSeek to collect industry reports, competitor analysis, and market trend data.
  • Personal knowledge managementIndividual users can use TurboSeek to organize and retrieve their personal collections of articles, blogs, and web pages, building their own personal knowledge base.
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