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Snapchat has published its latest performance update, which shows an increase in users in Q4 2024, and a higher-than-expected revenue…
Do you find it difficult to keep up with the latest ML research? Are you overwhelmed with the massive amount of papers about LLMs, vector databases, or RAGs?
In this post, I will show how to build an AI assistant that mines this large amount of information easily. You’ll ask it your questions in natural language and it’ll answer according to relevant papers it finds on Papers With Code.
On the backend side, this assistant will be powered with a Retrieval Augmented Generation (RAG) framework that relies on a scalable serverless vector database, an embedding model from VertexAI, and an LLM from OpenAI.
On the front-end side, this assistant will be integrated into an interactive and easily deployable web application built with Streamlit.
Every step of this process will be detailed below with an accompanying source code that you can reuse and adapt👇.
Ready? Let’s dive in 🔍.
If you’re interested in ML content, detailed tutorials, and practical tips from the industry, follow my newsletter. It’s called The Tech Buffet.
Do you find it difficult to keep up with the latest ML research? Are you overwhelmed with the massive amount of papers about LLMs, vector databases, or RAGs?
In this post, I will show how to build an AI assistant that mines this large amount of information easily. You’ll ask it your questions in natural language and it’ll answer according to relevant papers it finds on Papers With Code.
On the backend side, this assistant will be powered with a Retrieval Augmented Generation (RAG) framework that relies on a scalable serverless vector database, an embedding model from VertexAI, and an LLM from OpenAI.
On the front-end side, this assistant will be integrated into an interactive and easily deployable web application built with Streamlit.
Every step of this process will be detailed below with an accompanying source code that you can reuse and adapt👇.
Ready? Let’s dive in 🔍.
If you’re interested in ML content, detailed tutorials, and practical tips from the industry, follow my newsletter. It’s called The Tech Buffet.
Do you find it difficult to keep up with the latest ML research? Are you overwhelmed with the massive amount…