Search and RAG

pplx-embed

Embeddings from the Perplexity search service. Some versions take into account the context of the whole document, not just a single fragment.

Developer
Perplexity, USA
First release
Feb 2026
Latest release
Mar 2026
Sizes
0.6B – 4B
License
Commercial use allowedMIT
Russian
Not stated
Ready-made builds
GGUF
Running
On your own serverAlso runs without a GPU
Industries
Software development, Documents and accounting
Deploy on your server Hugging Face

What it does

  • Search across large document collections
  • RAG that accounts for document context
  • Website and catalog search

Where it is used

Media and publishingKnowledge basesOnline services

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
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. pplx-embed-v1-late-0.6b
  2. pplx-embed v1 и context-v1

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. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can pplx-embed be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does pplx-embed 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 pplx-embed support Russian?

The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.

Where can I download pplx-embed and what does it cost?

The pplx-embed 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

Search and RAGQwen3 Embedding / RerankerAlibaba (Qwen) · ChinaCommercial use allowed

Embeddings and rerankers based on Qwen3, among the best open ones for multilingual search, including Russian. VL versions search images, screenshots and video.

DetailsSearch and RAGVoyage 4 nanoVoyage AI (MongoDB) · USACommercial use allowed

The only open model in the Voyage 4 line: its vectors are compatible with the paid larger versions, so you can start locally and move to the API later.

Details

Source: huggingface.co/perplexity-ai/pplx-embed-v1-late-0.6b. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.