Azure Cognitive Search VS GraphQL

Azure Cognitive Search Reviews

GraphQL Reviews

Azure Cognitive Search mentions (4)

• Make your Azure OpenAI apps compliant with RBAC

  Microsoft offers an array of different AI-powered products, including Azure OpenAI Service, Azure AI Search, Azure AI Speech, and their most recent Microsoft Copilot for Office 365. - Source: dev.to / about 2 months ago

• Show HN: Dera – A platform to manage chunks and embeddings for building RAG apps

  Very cool. I wonder when it makes sense to engineer things at this level vs using something like Azure AI search. [0] Love to see version control on all the things! Wonder if the version control features would be more robust if implemented in Doltgres. [0] https://azure.microsoft.com/en-us/products/ai-services/ai-search/ [1] https://github.com/dolthub/doltgresql. - Source: Hacker News / 3 months ago

• 🎵 Do you want to build a Chatbot? 🎵

  Azure Cognitive Search may seem out of place in an article on conversational AI, but I do believe that chatbots are really often a form of conversational search. You're interacting with a virtual agent looking for some piece of information or looking to accomplish some task. - Source: dev.to / over 1 year ago

• Managing the infrastructure of a reusable ecommerce platform with Terraform

  In the ones where we need a persistence layer, we rely on the resources Azure Cosmos DB or Azure Database for PostgreSQL. Other services provide an API to search among a catalog of products with Azure Cognitive Search. As I will explain later, we work with different environments, therefore, creating and updating the resources across them becomes a harder task. - Source: dev.to / almost 3 years ago

GraphQL mentions (223)

• Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide

  GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / about 1 month ago

• Type-Safe Fetch with Next.js, Strapi, and OpenAPI

  When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / about 1 month ago

• REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers

  REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / about 1 month ago

• Gatsby tutorial: Build a static site with a headless CMS

  A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications. - Source: dev.to / about 2 months ago

• Rust GraphQL APIs for NodeJS Developers: Introduction

  In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / 7 months ago