AI answers grounded in your team’s sources.
Generic AI tools guess when they lack context. Memora retrieves the relevant conversations, code, tickets and documents — and how they relate — before answering, and shows the sources it used.
Which teams depend on the user-profile service?
Answer
Checkout, Notifications and Search call the user-profile service. Search was added in PR #908; the dependency map was last reviewed in ADR-011.
Sources
- PR #908 · Search profile lookupJun 2026
- ADR-011Jul 2026
- Thread in #platformJul 2026
Similar text isn’t the right answer.
Basic retrieval finds passages that look similar to your question. It misses how things are connected — which ticket led to which change, which decision replaced which — and AI fills the gaps with guesses.
Relationships are lost
Splitting documents into chunks breaks the links between related work.
Confident but wrong
Without the full picture, AI answers can sound right while missing key facts.
No way to check
Answers without sources are hard to verify, so people stop trusting them.
How it works.
Memora combines two ways of finding information so answers have both relevance and context.
Find relevant content
Semantic search finds the conversations, code and documents most related to the question.
Follow the connections
Memora follows the links between them — tickets, pull requests, decisions — to gather the surrounding context.
Answer with citations
The answer is built from those sources and links to each one, so you can check it.
In practice.
How teams put this to work day to day.
Multi-step questions
Questions that span several tools and decisions get a connected answer.
Ask Memora“What changed after the March outage, and who approved it?”
Dependency questions
Trace how services, teams and changes relate.
Ask Memora“What breaks if we retire the v1 API?”
AI agents and assistants
Give AI tools grounded context through Memora’s MCP server.
Ask Memora“Summarise the decisions behind our auth design.”
What your team gets.
Grounded answers
Answers are built from your sources rather than general knowledge.
Citations you can check
Every answer links to the content it used.
Connected context
Related tickets, changes and decisions are considered together.
Flexible model options
Talk to us about using enterprise or self-hosted language model endpoints.
Common questions.
What is Graph RAG?
Can Memora still be wrong?
Can we use our own language model endpoints?
Answers you can check.
Connect your tools and see the sources behind every answer.