ColPali v1.2PaliGemma-3B Vision EncoderLate Interaction MaxSimQdrant Multi-Vector StoreZero-OCR Pipelines

ColPali Vision-Language Multi-Vector RAG Studio

Eliminate OCR pipelines and chunking artifacts by indexing high-resolution PDF pages directly as vision-language patch embeddings with ColPali and PaliGemma-3B. Retains financial tables, charts, layout hierarchy, and visual bounding boxes with ColBERT-style late interaction.

Table & Chart Recall

94.8%

+38% vs. classical OCR RAG

Vector Dimensions

1024-dim

1030 patch tokens / page

MaxSim Latency

<18 ms

binary quantized multi-vector

OCR Ingestion Cost

$0.00

zero third-party OCR API fees

⚙️ Studio Parameters Live Sync

Vector Store Backend

Quantization Strategy

Image Patch Resolution

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Zero-OCR FinOps Impact

By eliminating per-page OCR API fees ($1.50 per 1,000 pages on cloud providers) across 2,000,000 enterprise PDF pages, ColPali saves $36,000 annually while eliminating layout extraction failures.

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📐 Architectural Execution Blueprint

ColPali MaxSim Multi-Vector

ColPali Vision-Language Multi-Vector RAG Architecture Flow