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When AI stops just "looking things up" and starts truly "understanding" your question. 1. Let's Start with an Everyday Scenario Imagine you're a new employee at a company. On your first day, you want to know "the most important project updates from ...
You thought the hardest part of GraphRAG was "building the graph." In reality, the hardest part is "assigning entity types" — even when you've predefined a strict type schema. 1. A Real-World Dataset We ran GraphRAG entity extraction on 3GPP TS 23.5...
Original: GraphRAG: Unlocking LLM discovery on narrative private data - Microsoft Research In early 2024, Microsoft published a technical blog post. The core message boils down to one sentence: Traditional RAG falls short with complex data, and Gra...
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? The Short Answer Splitting into multiple independent parallel requests is almost always faster. This isn't a g...
Fixed-length chunking requires no external services, yet semantic chunking absolutely needs an Embedding API — why? The Short Answer The core idea of semantic chunking is to split text at semantic boundaries. Determining whether "two pieces of text ...
