Milvus Data Ingestion | Create Database, Index, Schema, Collection in Milvus | Full Code RAG | GenAI

Ready to master Milvus data ingestion? 🌟 This hands-on guide walks you through the entire process, from data extraction to index creation, with a real-world example:

PDF Data Extraction: Learn how to fetch content from a PDF, create chunks, and generate embeddings using a Hugging Face model.

Schema Setup: Step-by-step guidance on creating a Milvus collection schema and defining field attributes.

Collection & Index Creation: Learn to set up a collection and configure an index for vector embeddings, with detailed parameter explanations.

Accurate Data Upload: Tips for uploading data correctly into the collection without errors.

All actions are demonstrated live on Attu, so you can see each step reflected directly in the UI. This guide has everything you need to get started with Milvus data ingestion efficiently!

Resources:

Embedding Model: https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5

My PDF: https://drive.google.com/file/d/1BIk7I443RVKi9ewTcH12StKMMqmXdY1R/view?usp=sharing

Milvus Index Documentation: https://milvus.io/docs/index-vector-fields.md?tab=floating

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