Better Chatbots with Advanced RAG Techniques
Explore advanced RAG techniques for building superior chatbots. Learn hybrid search, query generation, result filtering, re-ranking, and chunking to enhance information retrieval and user interactions.
AI-Powered Vector Search Engine Weaviate - Introduction and Demo
Explore Weaviate, an AI-powered vector search engine for unstructured data, featuring scalar search, graph connections, and modular architecture for advanced data retrieval.
Vector Databases - The Simple and Powerful Future of Machine Learning After ChatGPT
Explore vector databases' potential in machine learning, their real-world applications, and how they complement ChatGPT. Includes hands-on demonstration using open-source tools to showcase practical implementation.
Vector Search - A Gentle Introduction - Zain Hasan
Explore vector search technology, its applications in semantic search and recommendation systems, and learn about implementing real-time vector search with CRUD support for production-scale ML models.
Wikipedia Vector Search Demo with Weaviate
Explore semantic search through Wikipedia using Weaviate, featuring demos of vector search, question answering, and applications in various domains like protein folding and natural language processing.
Bring Your App into the AI-Age with Weaviate and Docker - DockerCon 2023
Explore integrating AI capabilities into your applications using Weaviate and Docker. Learn about vector databases, LLMs, and overcoming hallucination through Retrieval Augmented Generation for AI-powered features.
Gen-AI at Scale: Simplifying Orchestration of Healthcare Applications Across Multi-Cluster Environments
Explore multi-cluster orchestration for Gen-AI healthcare applications, using Weaviate and KEDA to simplify operations, improve reliability, and efficiently manage resources across Kubernetes clusters.
A Gentle Introduction to Vector Databases
Explore vector databases, semantic search, and machine learning models for unstructured data processing. Learn about Weaviate and see a practical demo of vector search in action.
Building Recommendation Systems with Vector Search - Women of Search
Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.
From RAG to Autonomous Apps with Weaviate and Gemini on Google Kubernetes Engine
Explore advanced RAG techniques using Weaviate and Gemini on GKE. Learn to deploy, ingest data, and enhance responses for building autonomous AI applications.
Building Multi-Modal Search and RAG with Vector Databases
Explore open-source multimodal embeddings for cross-modal search and MM-RAG. Learn techniques for integrating diverse data types, enhancing decision-making with real-time processing and LLMs.
A Fun and Absurd Introduction to Vector Databases
Explore vector databases for AI applications and natural language search. Learn to transform data into vectors, query effectively, and discover diverse use cases through engaging demonstrations.
Optimistic Concurrency Control in Database Systems - Lecture 18
Delve into optimistic concurrency control mechanisms and timestamp ordering protocols in database systems, featuring a special segment on Weaviate vector database implementation.
Build AI-Supercharged RAG Apps with a Vector Database
Empower your apps with AI using vector databases. Learn hands-on techniques for enhanced search, generative AI integration, and improved model capabilities through open-source tools and technologies.
Weaviate: An Architectural Deep Dive
Explore Weaviate's architecture, delving into its vector database design, scalability features, and innovative approaches to data storage and retrieval in this comprehensive seminar.
Vector Databases: A New Search Paradigm - OCX 2024
Explore how vector databases revolutionize information search through multidimensional data representation, with hands-on examples using Milvus, Weaviate, and Neo4J for enhanced data analysis.