Building RAG Pipelines for Dynamic Knowledge Bases
Let’s start with a reality check: Large Language Models (LLMs) are, essentially, very expensive autocomplete engines. They are magnificent at mimicking the cadence of intelligence, but they possess the factual reliability of a sleep-deprived undergrad during finals week. If you ask a vanilla LLM about a niche scientific paper published last Tuesday, it won’t tell […]
