SPIN Unprocessed January 12, 2026 ai_technology data_infrastructure
Vision RAG: Enabling Search on Any Documents
View original on mongodb.comSummary
Information comes in many shapes and forms. While retrieval-augmented generation (RAG) primarily focuses on plain text, it overlooks vast amounts of data along the way. Most enterprise knowledge resides in complex documents, slides, graphics, and other multimodal sources. Yet, extracting useful information from these formats using optical character recognition (OCR) or other parsing techniques is often low-fidelity, brittle, and expensive. Vision RAG makes complex documents—including their figur
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from MongoDB Blog
View all →- Token-count-based Batching: Faster, Cheaper Embedding Inference for Queries
- That’s a Wrap: MongoDB’s 2025 in Review & 2026 Predictions
- MongoDB.local San Francisco 2026: Ship Production AI, Faster
- Edge AI Made Easy: MongoDB and ObjectBox Data Synchronization
- Building a Movie Recommendation Engine with Hugging Face and Voyage AI
- Innovating with MongoDB | Customer Successes, February 2026
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO