Wolfram Notebook Assistant LLM Kit

Build Your Own Custom Notebook Assistant

The Wolfram Notebook Assistant LLM Kit is a powerful framework for developers and researchers to create custom, AI-powered assistants within Wolfram Notebooks. It bridges the gap between large language models (LLMs) like GPT and Wolfram's symbolic language and vast computational knowledge base. Users can build assistants that not only converse but also utilize tools such as running Wolfram Language code, accessing external APIs, connecting to vector databases for retrieval-augmented generation (RAG), and generating images, enabling highly capable and context-aware applications for scientific research, data analysis, and education.


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Product Details & Specifications

General

Publisher

Wolfram Research

Developer

Wolfram Research

Product Category

AI Development Toolkit

Target Audience

DevelopersData ScientistsResearchersComputational ProfessionalsEducators

Industry

Technology & Software

Product Type

Software Development Kit

Features

Automation

Workflow AutomationAI-Assisted Code GenerationAPI-Driven AutomationNatural Language Task Execution

Key Features

Build custom LLM-powered assistantsTool-use integration for code execution and image generationAccess and orchestrate external APIsVector database connectivity for RAGLeverages Wolfram's built-in computational knowledgeSeamless integration within Wolfram NotebooksSupport for major LLM providers like OpenAIBuilt on the symbolic Wolfram Language

Technical

Security Features

Single Sign-On (SSO) for CloudRole-Based Access Control (RBAC)Data Encryption at Rest and in Transit

API Availability

Authentication Methods:
API KeyOAuth 2.0
Has Public API:
Yes
API Types:
Wolfram Language APIREST API (Wolfram Cloud)

External Dependencies

Service Name:
OpenAI API
Service Type:
LLM Provider
Criticality:
High
Service Name:
Amazon Web Services
Service Type:
Cloud Infrastructure
Criticality:
Critical

Available Platforms

Wolfram Desktop (Windows)Wolfram Desktop (macOS)Wolfram Desktop (Linux)Wolfram Cloud

System Requirements

Recommended:
OS:
Windows 11, macOS 14.0+, Ubuntu 22.04
Memory:
8 GB+ RAM
Processor:
Intel Core i5 or equivalent, 2.4+ GHz
Minimum:
Processor:
Intel Pentium Dual-Core or equivalent
OS:
Windows 10, macOS 12.0+, Ubuntu 20.04
Memory:
4 GB RAM
Network:
Internet connection for activation and online features

Support & Community

Support Channels

Availability:
Business hours
Channel Type:
Email Support
Availability:
Business hours
Channel Type:
Phone Support
Tier Availability:
Premier
Availability:
24/7
Channel Type:
Community Forum

Social Media

Twitter:
@wolfram_research
You Tube:
@Wolfram

Pricing & Legal

Monetization Model

Included with Subscription

License Type

Proprietary

Relationships

Providers

wolfram.com

Additional Information

Integration Ecosystem

Integration Name:
OpenAI API
Integration Type:
Large Language Model API
Integration Name:
Hugging Face Models
Integration Type:
Large Language Model API
Integration Name:
Vector Databases
Integration Type:
Data Store
Integration Name:
External Web APIs
Integration Type:
Web Service

Deployment Models

Desktop SoftwareCloud (SaaS)

Required Dependencies

Wolfram Product Subscription (e.g., Mathematica, Wolfram|One)Wolfram Language EnvironmentAPI Keys for external LLM services