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Combining knowledge graphs with retrieval-augmented generation can improve the accuracy of your generative AI application, and generally can be done using your existing database.
According to OpenAI, o1 performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology, and even excels in math and coding.
Build RAG-powered LLM applications using the tools you know with a managed vector index in Azure.
How to build a local retrieval-augmented generation application using Postgres, the pgvector extension, Ollama, and the Llama 3 large language model.
Available through the Oracle Beta Program, the Oracle Code Assist beta is optimized for Java and application development on Oracle Cloud Infrastructure.
Other updates include enhancements to HeatWave Lakehouse, HeatWave on AWS, HeatWave AutoML, and MySQL HeatWave.
As more enterprises leave the cloud or express real concern with rising prices, vendors must adapt to retain enterprise customers.
LLMs are powering breakthroughs and efficiencies across industries. When choosing a model, enterprises should consider its intended application, speed, security, cost, language, and ease of use.
The companies replacing their junior developers with AI will be in big trouble when they realize they have no one to become a senior developer.
Haystack is an easy open-source framework for building RAG pipelines and LLM-powered applications, and the foundation for a handy SaaS platform for managing their life cycle.