RAG Engineering / 09Evaluate Retrieval and Gate Regressions
Separate retrieval coverage, context quality, and answer support. Calculate ranking metrics and design reproducible regression gates.
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Blog posts tagged with llmops
Separate retrieval coverage, context quality, and answer support. Calculate ranking metrics and design reproducible regression gates.
A system-level guide to the twelve classic RAG failure modes, the techniques now used to address them, and the limits that still remain.
vLLM pre-allocates a block of GPU memory for KV-cache based on the --gpu_memory_utilization parameter. By increasing this parameter, you free up more contiguous space for KV...
If you're looking to experiment with various models easily, importing GGUF might be your go-to method. Here's how it works:
This guide will walk you through setting up a local language model (LLM) using Ollama. Ollama is an open-source, lightweight language model that can be run locally on your machine...
Notes on processing unstructured PDF content and a demo architecture connecting a Gradio interface to models served by Ollama.