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Website to RAG
Index a website's content, store embeddings in a vector database, and provide LLM‑powered answers with source citations via an embeddable search bar.
This project aims to transform any website into a knowledge base that can be searched with natural language.
Upon submission of a sitemap, or synchronization with a Wordpress site, the tool indexes the content into a vector database.
Then the owner can inject a script in the website that will render a search bar widget where people can ask questions.
The tool answers using LLMs and the vector database while citing sources so users can manually check the information if needed.
(If there is enough time I can also show a second project that create new formulas for Google Sheets that use generative AI. For instance generating text using prompt from a column, or batch generating images using prompts from a column, or transcribing audio files based of urls in a column, …)