Nodelab

Data Integration, Visualization, Analysis and Processing

Overview

Nodelab

Nodelab is a platform for common workflow tasks. It includes a framework for execution — assets, security, and storage — and LLM features such as classification, RAG, chat, and incremental composition of text.

Accounts and workspaces are hierarchical.

Features

Synthetic

Use Composer to generate multiple large synthetic documents.

Questionnaire

Investigate one or more document sets against a predefined list of questions.

Code

Analyze a codebase, including for migration to another language or platform.

Workflow

Construct predefined LLM workflows.

Chat

Conversations, with optional connections to RAG and workflows.

Deployment

Runtime

Nodelab runs on a laptop or a server, as an executable JAR, in Docker, or on Kubernetes.

It requires Postgres, and pgvector if you use embeddings (RAG). Generation uses one of several LLM providers and is designed for small context windows.

Operation

It can run offline, on-premises, or on a public network, for a single user or for many.

Authentication can use OAuth2 (for example Keycloak), or demo mode with no additional identity provider.

Contact

Next step

For pricing and introductions, contact Oak Analytics.

Existing customers: open the user guide (sign-in required).