Milvus

?? 30,000 Milvus stars ?? ?? Thanks for contributing to our open-source community! "Milvus wouldn't be the same without you - without our users, contributors, and companies using us!" Stephen Batifol #OpenSource #Milvus #Community #Milestone #GitHub #Vectordatabase

?? Ever wondered how AI systems find the most relevant information in milliseconds among millions of data points? Enter HNSWlib - a vector search library revolutionizing how we handle similarity search in AI applications. Here's why it matters: ?? Unlike traditional k-NN search that checks every data point, HNSWlib uses a clever hierarchical graph structure to dramatically speed up searches ?? Perfect for building recommendation systems, RAG applications, and semantic search engines ?? Achieves top-tier performance in industry benchmarks, rivaling solutions like FAISS and Annoy ? Offers flexible parameter tuning to balance between speed and accuracy It's open-source and can be integrated with modern vector databases like Milvus for enterprise-scale applications. If you're building AI applications that need fast, accurate similarity search, this is worth exploring. ?? https://lnkd.in/gGcV4neZ #ArtificialIntelligence #MachineLearning #VectorSearch #DataScience #AI #HNSW

Unstructured data (like text, images, or audio) makes up 90% of new data, but most databases aren’t built to handle it efficiently. Learn why purpose-built vector databases are essential for transforming unstructured data into actionable insights and how to choose the right one for your use case. Get your free copy of The Definitive Guide to Choosing a Vector Database. https://bit.ly/4g8AVx9

?? 20 Must-Know NLP Datasets for Your Next AI Project! From Gutenberg to Yelp reviews, discover the ultimate collection of datasets that will transform your Natural Language Processing models. Comprehensive guide → https://lnkd.in/g2medg9i #NLP #NaturalLanguageProcessing #Datasets #AI #Vectordb #Milvus

"Sorry, this feature isn't available in your region yet." Have you seen this before? Create your own solution by building a voice assistant that: ? Uses open-source technologies ? Works anywhere in the world ? Gives you complete control ? Protects your privacy https://lnkd.in/gwreAiek by Stephen Batifol

?? Enhancing Vector Database Observability with Langtrace x Milvus We're thrilled to share our latest blog where we explore the seamless integration of Langtrace with Milvus, the leading vector database. ???? This guide dives deep into: ? Best practices for monitoring and debugging vector databases ? How to optimize LLM-powered applications with enhanced observability ? Real-world use cases that demonstrate the power of this integration If you're building AI-powered solutions or working with vector search, this is a must-read! ?? Check out the full blog here: https://lnkd.in/g_PH5nqc Milvus

Last week, we explored AI and machine learning discussions at Unstructured Data Meetup SF with Arize AI. Our incredible speakers shared insights that are advancing how we think about AI systems: ?? Hakan Tekgul from Arize unveiled techniques for evaluating RAG (Retrieval-Augmented Generation) pipelines, highlighting methods to identify and improve weak points in unstructured data applications. ?? James Luan from Zilliz shared a sneak peek of Milvus 2.5, demonstrating how hybrid search can bridge the gap between dense embeddings and traditional keyword search - a powerful approach for semantic search technologies! ??? Max Mathys from Lakera shared fascinating insights from the Gandalf challenge, revealing the staggering 10M+ attacks against LLMs and critical strategies for AI system defense. ?? See recordings and slides in the comments below! #Meetup #Event #SanFrancisco #AI #ML #RAG #Vectordb #Milvus

?? Tech Spotlight: What's the buzz about ColPali? ColPali is making some noise in the world of document retrieval, Here's the idea: ?? Imagine AI that 'reads' PDFs by looking at them - no text extraction needed! How it works: * Treats PDF pages as images * Uses Vision Language Models * Applies 'late interaction' techniques ?? The potential perks: * Could eliminate OCR hassles * Aims for context-aware understanding * Promises more accurate retrieval ?? But it's not all smooth sailing. Challenges include: * High computational demands * Significant storage needs * Complex implementation Curious to learn more? Our latest blog post explains how ColPali works from a high level perspective. Check it out here ?? https://lnkd.in/gGHgWSrv by Stephen Batifol #ColPali #DocumentRetrieval #VLMs #PDFs #Tech #Milvus #Vectordb

From 'Not Available in Your Region' to 'Fully Customized AI' - our new newsletter shows you how to break through technological barriers with open-source tools. Multimodal RAG, voice assistants, and fun upcoming events! ????? #Multimodal #RAG #Events #AI #Voice #YouTube #Tutorials

Join us for the last Bay Area meetup of the year in SF on Dec 3! ?? Stefan Webb will explore how new multimodal foundation models are trained to understand tabular data, and demonstrate practical ways to unlock hidden value in your organization's data assets. ?? #Meetup #Event #BayArea #SanFrancisco #Vectordb #Milvus #UnstructuredData