LLMOps

The full-stack platform for LLM applications

Get the freedom to build, deploy and monitor LLM applications with a single platform. Easily manage prompts, trace requests, deploy AI workflows and use any hosted or API-based AI models.

LLMOps

Manage Prompts

Manage prompts, track versions, and collaborate with your team.

  • Create, manage and deploy prompts outside code
  • Collaborate with your entire team - data scientists, prompts engineers and developers.
  • Experiment with models, track versions, and compare results in our prompt playground.
  • A single prompt registry for prompt engineering and in-depth experiments on large datasets.
Manage Prompts
Orchestrate Workflows

Orchestrate Workflows

Create and visualize complex LLM flows. Implement shadow prompts deployments to thoroughly test and refine them before rolling out your workflow into production.

LLM Tracing

Trace any workflow to debug and inspect LLM applications.

  • See all requests in one place
  • Gain visibility and debug your LLM workflow in seconds.
  • Track prompt content, model inference calls and latency
LLM Tracing
All Your RAG Needs

All Your RAG Needs

Deploy Retrieval-Augmented Generation (RAG) pipelines using embedding models and a Vector database on JFrog ML. Seamlessly integrate and manage your RAG processes and vector storage, in an all-in-one user friendly platform.

Don’t be late in the game. Your AI in production needs flexible infra, stay ahead or fall behind.
Get a demo

Deploy any Large Language Model

Streamline your Large Language Model deployment with the JFrog ML model library. We make the process quick, easy, and efficient, allowing you to focus on AI while we handle the engineering.

Deploy any Large Language Model
Fine-Tune LLMs

Fine-Tune LLMs

Enhance the accuracy and relevance of your Large Language Models with JFrog ML fine-tuning capabilities. Tailor your LLMs to specific tasks and datasets, ensuring optimal performance and results that truly align with your business objectives

Connect Data Pipelines

AI applications need your organizational data right on time to make the magic happen. Connect any data source to prompts or create complex vector ingestion pipelines tailored to your needs.

Connect Data Pipelines
Vector Store

Vector Store

Store embedding vectors at scale to supercharge your ML & AI applications.

  • Ingest data from any source, convert to embedding vectors, and perform vector search manually or automatically.
  • Easily find similarities for applications like recommendation engines and image retrieval.
  • Use RAG pipelines to fetch up-to-date or context-specific data, enhancing LLM performance and accuracy in text generation tasks.

JFrog ML GPU Cloud

Achieve top model performance and save costs with effortless GPU autoscaling and simple model deployment on any of the various GPUs available on the JFrog ML GPU cloud.

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Don’t be late in the game. AI apps need flexible infra, stay ahead or fall behind.
Get a demo

Don’t just take our word for it

In the rapidly evolving landscape of property management technology, optimizing data processes remains paramount. Guesty, a leading player in this domain, faced challenges in streamlining its data science operations and hastening model deployment. This case study delves into Guesty's unique challenges and highlights how a strategic partnership with JFrog ML provided innovative solutions.

“JFrog ML led us to build a project from scratch in less than a month for the company's customers.”
Elad Silvas, Data Science Manager

Explore the JFrog ML platform

MLOps
Train and Deploy Any Model
Train and Deploy Any Model
Feature Store
Transform Your Data
Transform Your Data