In this session we will review the following data preparation tools and techniques we have discussed in the previous sessions: Data Prep Kit; Docling; Open source RAG with Data Prep Kit + Milvus + Llama.

In this session we will review the following data preparation tools and techniques we have discussed in the previous sessions: Data Prep Kit, Docling, Open source RAG with Data Prep Kit + Milvus + Llama.

Introductory session on Milvus vector datastore, presented by Stefan Webb from Zilliz.

In this workshop, we will demonstrate implementing an end-to-end RAG pipeline using open source technologies: Data Prep Kit for processing documents; Milvus as vector database; Granite 3 as the LLM.

In this tutorial, we describe and show every step in building your own local RAG application using Milvus, LangChain, Ollama and Llama 3.x. At the end of the talk, you will have a working RAG application. We will also cover tips and techniques to upgrade to more advanced RAG apps.

In this session, I will discuss the unstructured data and the world of vector databases, we will see how they different from traditional databases. In which cases you need one and in which you probably don’t. I will also go over Similarity Search, where do you get vectors from and an example of a Vector Database Architecture. Wrapping up with an overview of Milvus.

In this session, I will discuss the unstructured data and the world of vector databases, we will see how they different from traditional databases. In which cases you need one and in which you probably don’t. I will also go over Similarity Search, where do you get vectors from and an example of a Vector Database Architecture. Wrapping up with an overview of Milvus.