Build Pipelines
Multimodal RAG System
CLIP embeddings with ChromaDB for text, images, and tables. 0.030s retrieval with 60%+ cross-modal accuracy.
0.030s retrieval, 60%+ accuracy
The 4-step NEO workflow
- 1
Describe the task
Explain inputs, outputs, and the business outcome the pipeline serves.
- 2
Add context for NEO
Share data sources, models, SLAs, and existing code.
- 3
NEO implements & delivers
NEO composes the pipeline with tests and deployment notes.
- 4
Follow up or test it out
Run on production-like data and tune weak stages.
Ask NEO
How to run this scenario
Wire "Multimodal RAG System" as an end-to-end pipeline with versioning, checks, and observable stages.
Approach
What NEO focuses on
- Ingestion, retrieval, and model stages with clear contracts
- Automated validation on sample and holdout data
- Monitoring hooks for drift and quality regressions
Outcomes
What you get
- A pipeline you can extend without rewriting glue code
- Artifacts and metrics per stage for debugging
- Production-ready flows instead of one-off notebooks
Ready to try for yourself?
Open NEO in VS Code or Cursor and describe this scenario. NEO plans the work, runs experiments, and ships artifacts you can review and iterate on.