This tutorial explores integration of the RAG pattern using OpenAI models and vector search capabilities in a .NET app. The sample application performs vector searches on custom data stored in Azure ...

There are a jaw-dropping 5.35 billion internet users around the world. But you’d be surprised how many people are not aware ...

What an AI engineer needs is not to master cutting-edge theory, but to be able to build functional products using existing ...

Choosing the right framework for your large language model application comes down to one question: what are you actually ...

OGX is plainly described as: an open-source agentic API server for building AI applications, OpenAI-compatible, any model, any infrastructure. It is the rebrand of Meta's Llama Stack, with the name ...

IBM® watsonx.data is a hybrid, open data lakehouse to power AI and analytics with all your data anywhere. A key feature is the ability to access all data through a single point of entry with a shared ...

Weaviate Cloud Flex Shared is a fully managed SaaS vector database built on the popular open-source Weaviate engine. It enables developers and teams to store data objects alongside their vector ...

Join the Decentralize AI Hackathon by HackerNoon, Arweave, Nosana, and MEXC to build open, transparent, and user-owned AI ...

Google has announced an expansion of "Coral NPU," an open standard for small chips that run AI on devices (the Google blog post is dated October 20, with no specific time or time zone indicated). An ...

Notice that Character.AI, the single most-searched name tied to “best AI chatbot for roleplay,” is the only option in that ...

This article describes how to build an unstructured data pipeline for AI applications. Unstructured pipelines are particularly useful for Retrieval-Augmented Generation (RAG) applications. Learn how ...