In one sentence
Training data is what a language model learned before its cutoff. Live retrieval is what it fetches from the web or an index when answering. Most AI answers use one or both.
What it means
Training data shapes what a model believes by default. It is slow to change, opaque, and updated only with new model releases. Live retrieval pulls current pages into the answer through RAG and produces the citations you see.
You cannot tell from the answer alone which one produced a mention. A brand named with no sources probably came from training data. A brand named with sources probably came from retrieval, though the two mix.
What to do about it
Treat them as separate programs. For retrieval, fix crawler access, page clarity and freshness. For training data, the lever is broad, consistent, independent coverage over time, which is slow and cannot be guaranteed. Also note that crawlers for each purpose may differ: see GPTBot and AI crawlers.
How Pineprompt measures it
Pineprompt separates answers that show cited sources from those that do not, per platform, which gives a rough view of how much each platform relies on retrieval for your prompts.
Frequently asked
- What is Training Data vs Live Retrieval?
- Training data is what a language model learned before its cutoff. Live retrieval is what it fetches from the web or an index when answering. Most AI answers use one or both.
- How does Pineprompt measure Training Data vs Live Retrieval?
- Pineprompt separates answers that show cited sources from those that do not, per platform, which gives a rough view of how much each platform relies on retrieval for your prompts.