Conversation Context
Beyond the semantic layer and organization settings, you can add context directly within a conversation for faster, more targeted answers.
Add context to your conversation
Reference specific objects — datasets, dashboards and visualizations — to help AI narrow its focus and avoid guesswork.
- Inline reference — Type
@in your message to reference an object for that question only. - Pin context — Click
+ Contextto pin an object for the entire conversation.
Example: Instead of "What's our revenue this month?", try "What's our revenue this month? @ecommerce_orders_dataset" — this tells AI exactly which dataset to use.
Chat memory
Holistics AI remembers your conversations from the last 10 conversations, so you don't need to re-explain context from a previous session. If you spent time yesterday exploring a revenue drop, today's follow-up questions will benefit from that prior context automatically.
The 10-conversation memory window is the current default. We plan to extend this in a future release.
Give feedback on AI answers
Use the 👍 / 👎 buttons on any AI response to signal whether the answer met your expectations. AI uses this feedback to learn your preferences across future sessions (in your personal workspace) — for example, consistently downvoting verbose answers will shift it toward more concise responses over time.