
Explore the future of AI with LLMs, LangChain, and Pinecone. Learn to build powerful applications using cutting-edge tools and techniques in this comprehensive workshop led by industry experts.

Explore how data lakehouse architecture with Apache Hudi supports real-world predictive ML and vector-based AI use cases in this 30-minute keynote by Vinoth Chandar, creator of Apache Hudi. Learn about ingesting data with minute-level freshness, providin…

Explore the evolution of data processing architectures for Generative AI in this 12-minute talk by Emily Ekdahl at the MLOps.community event. Discover how real-time data streaming solutions using Apache Kafka and Apache Flink are revolutionizing the way…

Explore the cutting-edge world of Agentic Retrieval-Augmented Generation (RAG) systems in this 31-minute conference talk from Devoxx. Discover how to construct an advanced Agentic RAG system using open-source technologies like Langchain, Ollama, and Milv…

Explore the RAG (retrieval-augmented generation) pattern in this 31-minute conference talk from Devoxx. Learn the fundamental concepts behind RAG and gain hands-on experience setting up a practical RAG infrastructure using Docker. Discover how to configu…

Embark on a comprehensive deep-dive into Retrieval Augmented Generation (RAG) techniques, from basic implementations to advanced strategies. Learn how to overcome common challenges such as inaccurate or incomplete answers, outdated information, and ineff…

Explore the creation of advanced knowledge management systems using AI technology in this 52-minute conference talk from Devoxx. Learn how to leverage Java, Spring Boot, and Spring AI APIs to develop more user-friendly and conversational systems that enc…

Explore AI agent development using shell scripting, focusing on Nushell and Couchbase for vector database integration. Learn to create powerful, iterative systems efficiently.

Integrate AI into Java enterprise apps using Spring AI. Learn key concepts, develop AI applications rapidly, and explore practical use cases like semantic search and RAG patterns.

Explore LangChain's core concepts and build LLM-based applications using Retrieval Augmented Generation for document-based question answering.

Explore Retrieval Augmented Generation using LangChain. Learn to build and optimize question-answering systems with vector stores, embedding models, and LLMs for private data applications.

Develop a chatbot using MLOps World content, exploring techniques to transform it from concept to production-ready application.

Explore Retrieval Augmented Generation using LangChain to build a question-answering system with private data, leveraging vector stores, embedding models, and LLMs.

Build customizable RAG workflows using OSS tools and your own data to optimize GenAI applications for corporate environments. Learn best practices and advanced techniques.

Explore function calling for LLMs to access structured data, enhancing RAG capabilities without vector databases. Learn to enrich tables with metadata for improved query performance.

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.

Discover strategies for scaling LLMs in production, covering performance profiling, GPU optimization, and guardrail interactions with real-world examples.

Explore authorization best practices for LLM-based systems, covering security implications, design patterns, and robust solutions for various use cases.

Explore the evolving landscape of AI-powered search and information retrieval, examining new concepts and their relationships to traditional techniques in this insightful keynote presentation.

Explore Milvus 2.0, a cloud-native vector database for AI applications. Learn about its architecture, features, and real-world use cases across industries for unstructured data analytics and search.

Aprende a clasificar documentos usando Langchain, Ollama con Mistral 7B y Chromadb para análisis de similitud en español.