Coding a vector database from scratch
The talk
Schedule
Room: Room 228
April 5
14:00–14:55
Abstract
In 2023, vector databases are attracting great interest, as evidenced by the Google Trends search statistics. This type of database has a direct link with Large Language Models (LLM), such as ChatGPT , by enabling “Retrieval Augmented Generation” (RAG) for example. This approach offers the possibility of exploiting the power of a conversational agent using our own data.
But... Do you really need a vector database ?
Prerequisites
Basic knowledge about python and curiosity about Generative AI or search engines
Description
In 2024, vector databases are attracting great interest. This type of database has a direct link with Large Language Models (LLM), such as ChatGPT , by enabling “Retrieval Augmented Generation” (RAG) for example.
It is also useful for search engines, as we will build a multimodal text-image search engine, by coding a vector database from scratch.
