LlamaIndex vdr
A small model for searching document pages as images, from the team behind a popular RAG framework. The card lists English, Italian, French, German and Spanish.
- Developer
- LlamaIndex, USA
- First release
- Jan 2025
- Latest release
- Jan 2025
- Sizes
- 2B (based on Qwen2-VL)
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Documents and accounting, Legal, Finance, Customer support
What it does
- Search across scans and PDFs without OCR
- Search across invoices, acts and contracts
- Picking pages for an AI assistant answer
Where it is used
Hardware requirements
Versions
- vdr-2b-v1 и vdr-2b-multi-v1
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can LlamaIndex vdr be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does LlamaIndex vdr need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does LlamaIndex vdr support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download LlamaIndex vdr and what does it cost?
The LlamaIndex vdr weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Searches PDFs and scans as images: pages do not need to be OCR'd first, the model finds the right one for a question directly, including tables and charts. Trained on English.
DetailsVisual document searchDSE (Document Screenshot Embedding)University of Waterloo, Tevatron project · CanadaCommercial use allowedSearches page screenshots: the page is not OCRed but turned into a single vector, so the index is more compact than with late-interaction models. The card lists English and French.
DetailsVisual document searchModernVBERT / ColModernVBERTIlluin Technology, EPFL, CentraleSupélec · FranceCommercial use allowedA compact (250M) model for searching document pages as images. According to the authors, it matches models 10 times larger and runs without a GPU.
DetailsSource: huggingface.co/llamaindex/vdr-2b-multi-v1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


