RerankersSearch and RAG

ColBERT (поиск с поздним взаимодействием)

A different search principle: every word of the question is compared with every word of the document, not the two texts as a whole. The index is heavier than with ordinary embeddings. The model cards list English.

Developer
Stanford NLP, later Answer.AI and LightOn, USA and France
First release
Jun 2023
Latest release
May 2025
Sizes
about 33M – 150M
License
Commercial use with conditionsMIT (ColBERTv2); Apache 2.0 (answerai-colbert-small-v1); Reason-ModernColBERT — CC-BY-NC 4.0, non-commercial use only
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Software development, Documents and accounting, Customer support, Legal
Deploy on your server Hugging Face GitHub

What it does

  • Search across a knowledge base of long documents
  • Reordering retrieved passages
  • Search across policies and technical documentation

Where it is used

IT and software developmentDocument managementLegal and compliance

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Reason-ModernColBERT (лицензия CC-BY-NC)
  2. answerai-colbert-small-v1 (33M)
  3. ColBERTv2 (веса на Hugging Face)

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

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 ColBERT (поиск с поздним взаимодействием) be used in a commercial project?

With conditions. License: MIT (ColBERTv2); Apache 2.0 (answerai-colbert-small-v1); Reason-ModernColBERT — CC-BY-NC 4.0, non-commercial use only. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does ColBERT (поиск с поздним взаимодействием) need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does ColBERT (поиск с поздним взаимодействием) support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download ColBERT (поиск с поздним взаимодействием) and what does it cost?

The ColBERT (поиск с поздним взаимодействием) 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

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

RerankersBGE RerankerBAAI (Beijing Academy of Artificial Intelligence) · ChinaCommercial use allowed

Rerankers: they take passages found by search and reorder them by how well they actually match the question. v2-m3 is multilingual and lightweight, often paired with bge-m3.

DetailsVisual document searchColPali / ColQwenIlluin Technology (ViDoRe team) · FranceCommercial use with conditions

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.

DetailsRerankersCross-Encoder MS MARCO (MiniLM, TinyBERT, mMARCO)UKP Lab and the Sentence Transformers community · GermanyCommercial use allowed

The most downloaded open rerankers: a tiny model reads a question-passage pair and scores how well they match. The multilingual mMARCO version covers Russian.

Details

Source: huggingface.co/lightonai/Reason-ModernColBERT. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.