RAG: Vector Search Results
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You can start interacting with me anytime now.
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And Due to budget constraints, the conversations here are limited to single turns only. It's not possible to respond based on previous conversation records. Everything is solely based on responses generated from the knowledge base queried each time.
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Hello, I'm Senjor Pai. It's a pleasure to meet you. If you have any questions regarding my resume, personality, achievements, work experience, or education, feel free to ask.

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Discover Senjor Pai's Technology Showcase

Hi, welcome to Senjor Pai's Interactive Portfolio. Here, I mainly showcase several key technologies, including: React + TS + Netlify frontend, Express.js backend, MongoDB, RAG (Retrieval-Augmented Generation), Vector Search / Semantic Search with Embedding Algorithm, and OpenAI API (GPT-3.5).

This webpage is currently just an initial prototype version. I will continue to update and improve it, as well as add new features. The knowledge base for RAG is still being expanded, so the amount of information contained may not be sufficient to handle all questions.

Its primary purpose is to demonstrate how RAG technology answers fact-based questions in a contextually relevant manner and overcomes the illusion problem of generic responses from LLM. Please approach these questions with an open mind. Thank you!