Vector Database Stories
From company news to technical tutorials – explore the most popular content on the Zilliz blog.
Product
Revolutionizing Search with Zilliz and Azure OpenAI
In AI development, a new integration emerged between Zilliz and Azure OpenAI. Together, they redefine the landscape of similarity and semantic search, infusing them with remarkable speed, intelligence, and safeguards. Let's explore this fusion of cutting-edge technologies.
Engineering
TF-IDF - Understanding Term Frequency-Inverse Document Frequency in NLP
We explore the significance of Term Frequency-Inverse Document Frequency (TF-IDF) and its applications, particularly in enhancing the capabilities of vector databases like Milvus. We discuss how TF-IDF serves as a critical tool in text analysis, providing a quantitative way to ascertain the importance of words in documents relative to a corpus. This is especially beneficial in applications like search engines, document classification, and information retrieval.
Vector Database 101
Transforming PDFs into Insights: Vectorizing and Ingesting with Zilliz Cloud Pipelines
You will learn how Zilliz Cloud Pipeline transforms PDF data into a format ready for LLMs to use in semantic search tasks. Finally, we will conduct data retrieval using vector search.
Engineering
Hybrid Search with Milvus
In this tutorial, you will learn how to enhance your search by using Milvus 2.4's hybrid search capabilities.
Engineering
Enhancing Efficiency in Vector Searches with Binary Quantization and Milvus
Binary quantization represents a transformative approach to managing and searching vector data within Milvus, offering significant enhancements in both performance and efficiency. By simplifying vector representations into binary codes, this method leverages the speed of bitwise operations, substantially accelerating search operations and reducing computational overhead.
Engineering
Effortless AI Workflows: A Beginner's Guide to Hugging Face and PyMilvus
In this comprehensive guide, you will learn how to utilize PyMilvus and Hugging Face datasets to supercharge your machine-learning projects.
Engineering
Nemo Guardrails: Elevating AI Safety and Reliability
In this article, we will provide an in-depth explanation of what Nemo Guardrails are, its practical applications, along with its integration.
Engineering
Popular Machine-learning Algorithms Behind Vector Searches
In this post, we’ll explore the essence of vector searches and some popular machine learning algorithms that power efficient vector search, such as K-Nearest Neighbors (ANN) and Approximate Nearest Neighbors (ANN).
Product
The Landscape of Open Source Licensing in AI: A Primer on LLMs and Vector Databases
Deciphering Open Source Licenses in AI: An Essential Guide