Explore the world of vector databases in this 45-minute conference talk from Conf42 Machine Learning 2023. Delve into the evolution from keyword search to semantic search, and learn how to process, understand, and search through unstructured data in a scalable and secure manner. Discover the role of machine learning in understanding context, and gain insights into vector representations and their applications. Examine Weaviate, an open-source vector database, and understand its modular architecture for flexible search pipelines. Witness a practical demonstration of using vector search to provide context for large language models. By the end of this talk, gain a comprehensive understanding of vector databases and their potential in modern machine learning applications.
Overview
Syllabus
intro
preface
about zain
from keyword search to semantic search
process, understand and search through unstructured data...
...in a scalable and secure way
use ml to understand the context
machine learning models
vector representations
vector databases
weaviate: an open-source vector db
a vector search pipeline
weaviate is modular: flexible search pipelines
using vector search to provide llms context
demo
reach out
Taught by
Conf42
