Large language models (LLMs) have evolved beyond generating text responses to interpreting text prompts. Discover how you can use a multimodal LLM to search your AI applications with PostgreSQL pgvector. This blog examines the architecture, database schema, and code required to build an application that searches recipes by both text and image.
Developers can now store, index and query vectors in PostgreSQL using pgvector, eliminating the need for a dedicated vector database. This blog deep dives into pgvector, and explains how to store text embeddings as vectors, execute similarity search, choose between indexes, and scale with distributed SQL.
In this blog, we examine how to create a fully autonomous AI travel agent, capable of finding listings and managing bookings using LangChain, OpenAI, PostgreSQL and pgvector, with YugabyteDB as the underlying database. Learn how to build your own AI agent backed by PostgreSQL using components available in today’s ecosystem.
In this tutorial, we’ll walk you through creating a serverless function with Azure Functions and YugabyteDB, a powerful combination for diverse use cases such as API endpoints and scheduled tasks.
Dive into our step-by-step guide on deploying scalable web applications with YugabyteDB and Azure App Service. Learn how to harness the power of cloud infrastructure, amplify data reliability with YugabyteDB, and bring an eCommerce dashboard to life.
See how easy it is to use the YugabyteDB Voyager data migration tool to migrate a web application from the Oracle database to a distributed YugabyteDB database cluster.
See how easy it is to use YugabyteDB Voyager to migrate a web application from a MySQL database to a distributed YugabyteDB database cluster.
See how how easy it is to use YugabyteDB Voyager to migrate a Node.js application backed by a single-node PostgreSQL database to a distributed YugabyteDB database cluster.
Backend developers working with databases often rely on query builders and object-relational mappings (ORMs) to facilitate database interactions. In this blog, we’ll investigate how the Knex.js query builder can be used to enhance the development experience with Node.js and YugabyteDB.
Developing distributed, database-backed applications brings a number of performance considerations. Applications are being developed to run across zones and regions, potentially incurring high latency costs if incorrectly tuned. This blog will guide you towards a low latency future by using Node.js Smart Drivers.
