Large Language Models (LLM) as a Judge
Using Large Language Models (LLMs) to evaluate the performance of other LLMs or Generative AI applications.
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Scalable RAG with .NET and Relational Databases - Part 2
Efficient storage and retrieval algorithms are critical to the performance of embedded databases because they directly impact how quickly and accurately queries can be executed. In the context of a Retrieval-Augmented Generation (RAG) system, where e...
Scalable RAG with .NET and Relational Databases - Part 1
RAG based AI System to Handle 100M Embeddings in a Single Node using .NET and Postgres