Prepare, chunk, embed, and sync the documents and records that feed your AI systems — with versioning and refresh schedules.
The challenge
Garbage in, garbage out. Most RAG failures trace to poor document preparation, missing updates, or wrong chunk boundaries.
Our approach
Step 1AuditInventory source documents, formats, access controls, and update frequency.
Step 2PipelineBuild ETL for extraction, chunking, embedding, and index updates.
Step 3ValidateTest retrieval quality with representative queries.
Step 4ScheduleAutomate refresh and alert on pipeline failures.
Typical deliverables
- Data pipeline code
- Chunking and embedding config
- Quality test query set
- Refresh schedule and alerts
Nimble AI Inc · 150 S 19th Ave, Lemoore, CA 93245 · hello@nimbleai.online