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How to Update Documents in Elasticsearch

Rockset

When building applications on change data capture (CDC) data using Elasticsearch, you’ll want to architect the system to handle frequent updates or modifications to the existing documents in an index. When a user searches for a show, ie “political thriller”, they are returned a set of relevant results based on keywords and other metadata.

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A Major Step Forward For Generative AI and Vector Database Observability

Monte Carlo

If it is structured data then it’s often stored in a table within a modern database, data warehouse or lakehouse. If it’s unstructured data, then it’s often stored as a vector in a namespace within a vector database. Vector databases have a different vocabulary and work differently than warehouses.

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Implementing the Netflix Media Database

Netflix Tech

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 96
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Intelligent Document Processing: Technology Overview

AltexSoft

Whatever the industry, various documents accompany at least a quarter of business operations. The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game.

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Introduction to Semantic Search: Embeddings, Similarity Metrics and Vector Databases

Rockset

A vector database not only stores embeddings but also facilitates such common search operations over them. This is a decision that should be given due consideration, since changing embeddings will normally entail repopulating the whole database, an expensive proposition. This quickly gets out of hand as the size of the database grows.

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Getting Started with Cloudera Data Platform Operational Database (COD)

Cloudera

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: . CDP Operational Database Data Service.

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How to get started with dbt

Christophe Blefari

You can also add metadata on models (in YAML). You have to define sources in YAML files. ℹ️ I want to mention that the dbt documentation is one of the best tools documentation out there. The documentation, as I said earlier, is top of the notch. Generate databases constraints with dbt.