surrealdb-python

Automate SurrealDB 2.3.x operations including CRUD, graph traversal, vector search, and real-time queries from Python.

10|3|Updated Nov 7, 2022
One-click install
npx skills add https://github.com/ActiveInferenceInstitute/Journal-Utilities --skill surrealdb-python
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: surrealdb-python
Source: https://github.com/ActiveInferenceInstitute/Journal-Utilities/tree/main/.claude/skills/surrealdb-python
Command: npx skills add https://github.com/ActiveInferenceInstitute/Journal-Utilities --skill surrealdb-python

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

SurrealDB Python integration simplifies multi-model database operations by enabling developers to perform CRUD, graph traversals, vector searches, and real-time subscriptions directly from Python.

Core Features & Use Cases

  • Setup and connect to SurrealDB from Python using the official SDK.
  • Execute CRUD operations, graph relationships, vector embeddings, and real-time queries.
  • Use case: Build AI-enabled apps that store and traverse complex data graphs with semantic search.

Quick Start

Run a minimal example that connects to SurrealDB from Python and performs a basic CRUD operation.

Frequently Asked Questions about surrealdb-python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect to SurrealDB from Python and perform CRUD operations?

To connect to SurrealDB from Python, use the official Python SDK to establish a connection and execute basic CRUD operations. This integration automates multi-model database management, enabling seamless data creation, retrieval, updates, and deletion directly from your application.

Can I execute graph traversal operations using the SurrealDB Python SDK?

Yes, the SurrealDB Python SDK supports graph traversal operations using the RELATE command. You can establish and traverse complex graph relationships directly from Python, allowing integrated management of connected data structures within your database.

Does SurrealDB support vector search and real-time queries in Python?

SurrealDB supports vector search and real-time queries in Python through its official SDK. You can store vector embeddings for semantic search and subscribe to live data feeds, enabling dynamic, AI-driven applications with up-to-date information.

What is the best way to build AI apps with graph data and vector embeddings in SurrealDB?

The best way to build AI apps with SurrealDB is using the Python SDK to integrate graph data and vector embeddings. This approach allows you to store complex data graphs, perform semantic vector searches, and execute real-time queries efficiently.

Are there specific version requirements for using SurrealDB with Python?

This SurrealDB Python integration is specifically designed for SurrealDB 2.3.x. Developers should ensure their database instance matches this version to properly utilize the SDK connection setup, CRUD operations, and real-time subscription features.