DEVELOPING THE APP
Half 1 — Creating the code utilizing Python, Gradio, GROQ & LlamaIndex
That is the primary of a two-part sequence of articles. On this half (Half 1) I’ll present you the way to develop a helpful Net app that may add and skim many several types of file e.g. PDF, TXT, DOCX and so on … We’ll then use AI and RAG to analyse the information and reply questions on them.
Partially 2, I’ll present you the way you need to use Hugging Face Areas to deploy your app to the net so the remainder of the world can marvel at your greatness.
PS. In order for you a sneak peek on the deployed app on Hugging Face Areas, click on on this hyperlink
Undoubtedly, one of many largest progress areas to return out of AI and huge Language Fashions is the sector of Retrieval Augmented Era (RAG). RAG is a fine-tuning methodology, the place you present an LLM with particular info it didn’t have entry to in its coaching information.
For those who’ve by no means heard of RAG earlier than, don’t fear, it’s not that difficult. A typical RAG pipeline entails studying in a number of (normally PDF format) paperwork, however they are often CSV, TXT, or no matter. Splitting these doc(s) into smaller chunks of textual content, encoding every token (kinda like an…
