
Explore innovative strategies for exploratory and diverse search using vector embeddings, enhancing user experiences beyond traditional search paradigms.

Explore scaling multimodal embeddings, retrieval, and generation using vector databases. Learn cross-modal search techniques and guide large language models with real-time retrieval.

Explore challenges and solutions for integrating inverted and ANN indexes in search engines, optimizing hybrid search systems for efficiency and scalability.

Explore multimodal RAG workflows for enhanced retrieval and generation, incorporating text, tables, and images. Live demo showcases PDF processing, vector database usage, and LLM-enriched responses.

Explore personalized search using multimodal latent behavioral embeddings. Learn to integrate user behavior into modern search retrieval pipelines for RAG and end-user search, enhancing relevance and user experience.

Explore practical cases of splitting monolith applications into microservices, focusing on e-commerce and financial domains using Spring Boot, MongoDB, and Kafka.

Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.

Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.

Learn SQL basics, schema objects, tables, and key syntax for querying databases with live examples from a Mars Petcare Data Engineer.

Explore vector embeddings for user modeling, learn vector ops, and discover applications in recommender systems and bot detection. Gain insights from real-world deployments.

Discover 10 powerful data science techniques to dramatically boost productivity and efficiency in your workflow.

Explore graph databases and their applications in social networks, analytics, and decision-making. Learn about their scalability, performance, and advantages over traditional databases for interconnected data.

Learn to build high-performing RAG systems by combining numeric and text data embeddings. Explore efficient retrieval techniques for LLMs and improve chatbot performance using an HR policy example.

Explore GLIDE's design for connecting applications to Valkey and Redis OSS-compatible services. Learn about its development and benefits for operational excellence.

Explore graph databases through a D&D-inspired example. Learn to model complex relationships, write efficient queries, and optimize data structures for adventurous problem-solving.

Learn SQL++ to apply SQL to JSON data, combining NoSQL flexibility with SQL familiarity. Explore implementation in Couchbase Capella for modern database applications.

Explore PostgreSQL's key features, including performance optimization, reliability, and extensibility, to understand its advantages for application development.

Explore real-time data integration using SymmetricDS, an open-source solution for syncing databases. Learn to set up and scale data replication across various platforms for improved service offerings and customer insights.

Explore serverless PostgreSQL's automatic scaling, rapid startup, and microVM implementation. Learn about compute-storage separation and connection management for modern stateless applications.

Explore how Recorded Future built a retrieval augmented generation system using LLMs as an interface to their threat intelligence graph, addressing challenges in real-time data leveraging, reliability, and speed.

Explore RapidIn, a scalable framework for estimating training data influence in large language models. Learn about token-wise retrieval and its two-stage approach.