01
Semantic document finder
Help staff retrieve relevant passages from approved content rather than matching exact keywords.
Data & Analytics
Build more with Nomic.
Text embeddings and vector search with Nomic Embed models for AI applications. Shape those capabilities into a system that fits your team.
Build concepts, not preinstalled apps. Provider plans, permissions, and API availability apply.
The possibilities
What could you build?
02
Content similarity review
Surface potentially related records for a person to confirm and organize.
Start with the semantic document finder.
Keep the first version small enough to test with the people who will use it.
- 01Nomic
- 02Semantic document finder
- 03Reviewed next action
- 01
Choose the first job
Use the first idea as your brief: Help staff retrieve relevant passages from approved content rather than matching exact keywords. Name the person responsible and the information they need to act.
- 02
Confirm access before connecting
Choose the embedding model and storage strategy. Preserve document access rules and evaluate retrieval quality.
- 03
Shape the app with Scout
Use the starter prompt below. Ask Scout to propose the records, source field mapping, views, and access rules. Preview sample data before connecting Nomic; keep source IDs so records stay traceable.
- 04
Pilot, then expand
Test with a small approved dataset and a least-privileged user. Check missing records, revoked access, repeated events, and failed requests. Enable live writes or messages only after the responsible owner approves the workflow.
Start with this prompt
Paste into Scout, then adapt it to your team. Do not paste credentials or private customer data.
Create this app with Nomic: Semantic document finder. Help staff retrieve relevant passages from approved content rather than matching exact keywords. Start with sample data and a small, approved set of records. Before connecting live data: Choose the embedding model and storage strategy. Preserve document access rules and evaluate retrieval quality. Propose the data model, access rules, and source-to-app field mapping before implementation. Add source links, a last-updated time, and clear empty and connection-error states. Keep credentials out of client code. Require human approval for external messages, source changes, or money movement. Test duplicate events, revoked access, and recovery before publishing.
Make it work your way.
Start with Scout, or map the first build with our team.