In this module, we will dive into the fundamental concepts of vector databases. You will learn their applications, the reasons for their growing popularity, and the advantages they offer compared to traditional database systems.

In this module, we will explore the key differences between traditional and vector databases. Through detailed comparisons, you will learn how vector databases overcome limitations of older systems, and understand the roles of embeddings and vectors in data management.

In this module, we will introduce you to the top 5 vector databases available today. You will also discover how these databases integrate with Large Language Models (LLMs) to enable advanced data management and analysis.

In this module, we will provide a hands-on guide to working with Chroma vector databases. You will learn to set up your environment, create a Chroma database, add documents, perform queries, and explore important database metrics.

In this module, we will focus on common measures of vector similarity. You will learn the theoretical underpinnings of cosine similarity, Euclidean distance, and the dot product, and how they are applied in real-world data retrieval scenarios.

In this module, we will walk you through the complete workflow of integrating vector databases with LLMs. You will learn how to generate embeddings, load documents, and generate model responses through seamless workflows.

In this module, we will introduce the LangChain framework and its integration with vector databases. You will explore how to load, split documents, and complete database queries within the LangChain ecosystem.

In this module, we will explore the Pinecone vector database. You will learn how to create and query Pinecone indexes, as well as how to clean up data and maintain an efficient indexing system.

In this module, we will guide you through selecting the best vector database for various applications. You will learn how to use comparison tables and evaluate key criteria for making informed decisions.

In this final module, we will review the key concepts from the course and guide you on your next steps. You will gain insight into further learning opportunities and resources for continued growth in the field.