What you will learn:
- What kind of data you can use with Qdrant
- What is chunking and a few common chunking methods
- How to use FastEmbed: Qdrant's efficient Python library for embedding generation
- What is indexing and a few common indexing methods
- How to load data into Qdrant
Whether you're new to RAG or looking to optimize your existing workflows, this session will provide valuable insights into data preparation techniques. We'll guide you through the process of transforming raw data into a format that's ready for AI consumption, ensuring your RAG applications are built on a solid foundation.
This video is for machine learning practitioners, data scientists, and AI enthusiasts who are either building AI apps or curious to learn how.
