Retrieval Augmentation and Semantic Search at Scale
Explore vector search, retrieval-augmented generation, and scaling challenges. Learn from benchmarks, AI pre-training experiments, and serving billions of vectors. Discover optimal GPU choices and efficient search result serving methods.
Unleashing the Power of Vector Search and Semantic Caching in Java
Explore vector search and semantic caching in Java using Redis OM, enabling efficient AI-powered applications with seamless integration of OpenAI, Hugging Face, LangChain, and LlamaIndex.
From Insanity to Ingenuity: Seven Practical Tips for Navigating the AI Storm in DBaaS Evolution
Explore AI's impact on DBaaS evolution with seven practical tips. Learn about LLMs, data quality, storage management, and innovative trends shaping the future of cloud-native databases and developer workflows.
Vector and Keyword Search for Enhanced LLM Performance
Explore hybrid search techniques combining keyword and vector algorithms to enhance LLM performance, including metadata filtering, TF/IDF ranking, and advanced vector search methods.
Vector Search at Uber - Implementing and Scaling KNN Search with Apache Lucene
Explore Uber's implementation of Vector Search using Apache Lucene, enabling semantic search and Gen AI support. Learn about HNSW algorithm integration, live vector updates, and scalability optimizations.
Enter the Brave New World of GenAI with Vector Search
Explore the intersection of GenAI and vector search, uncovering innovative applications and potential impacts on various industries. Learn about cutting-edge technologies shaping the future of AI-driven search and data analysis.
Serverless Billion-Scale Vector Search for AI Applications
Explore low-latency vector search on billion-scale datasets using LanceDB, an open-source solution for modern AI workflows like recommendation systems and LLM-based applications.
Retriever Strategies for RAG (Retrieval Augmented Generation)
Dive into effective Retriever strategies for RAG implementation in enterprise data, focusing on optimizing LLM performance and reducing hallucinations.
마이데이터 기반의 AI 금융 비서 - Private LLM과 보안 아키텍처
Explore SKT's innovative AI financial assistant service architecture, featuring Private LLM, LangChain, and Vector search technologies, with insights on securing sensitive MyData information.
Similarity Search - Taking Your Search Engine to the Next Level
Dive into advanced similarity search techniques and AWS services for enhancing search engine capabilities, understanding observability, monitoring, and telemetry implementation.
Transforming the Search Industry with LLMs Using Source Frontier
Explore how Source Frontier technology enhances LLMs' capabilities by combining traditional search engine strengths with AI-powered content generation for more accurate and validated information retrieval.
The Power of GenAI: Generate Growth and Innovation with Data
Explore how GenAI and data drive innovation, growth, and personalized experiences. Learn about RAG, vector embeddings, and building data foundations for AI applications.
Cassandra Vector Search Performance Tuning
Explore Cassandra 5.0's vector search capabilities, benchmark performance against other databases, and learn optimization strategies for enhanced accuracy and efficiency.
Accelerating Path to Production for Generative AI-powered Applications
Leverage large language models and real-time data to build intelligent applications with improved accuracy using Retrieval Augmented Generation. Explore AI-driven experiences and vector search capabilities.
Vertex AI Embeddings API and Matching Engine - Grounding LLMs for Enterprise Use
Explore grounding LLMs using Vertex AI Embeddings API and Matching Engine. Learn key concepts for building reliable generative AI services in enterprise environments.
BigQuery Vector Search and Embedding Generation for Semantic Analysis
Unlock semantic search with BigQuery: transform unstructured data into embeddings, enabling powerful analysis and connections beyond traditional keyword searches.
Redefining Vector Search for Generative AI Application Development
Explore cutting-edge vector search algorithms for generative AI apps, leveraging Google's decade of research for enterprise-scale solutions.
Co-design Hardware and Algorithm for Vector Search
Explore hardware-algorithm co-design for efficient vector search on FPGAs, enhancing performance in large-scale information retrieval and machine learning systems.
Transcribed Audios Automatic Checklist Using Generative AI - Databricks Talk
Automatiza avaliação de interações com clientes usando IA generativa, transcrevendo áudios e criando checklists, melhorando eficiência e experiência do cliente no setor de seguros.
Vector Search Over Complex Semi-Structured Data
Explore production-grade vector search systems combining unstructured and structured data, with focus on user objectives and feedback loops for improved results in various applications.
Introduction to Retrieval Augmented Generation (RAG) and Implementation with Databricks
Discover RAG's potential to enhance AI applications with external knowledge sources. Learn implementation steps using Databricks for more intelligent, context-aware AI solutions.