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📚 Satori Node.js SDK

Welcome to the official documentation for Satori Node.js SDK! 🚀
This library allows you to interact easily and efficiently with the Satori database via WebSockets, supporting CRUD operations, real-time notifications, and advanced queries.

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✨ Main Features

  • Ultra-fast CRUD operations ⚡
  • Advanced queries using field_array 🔍
  • Real-time notifications 📢
  • Graph-like relations (vertices and references) 🕸️
  • Data encryption and decryption 🔐

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🚀 Installation

npm install satori-node

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🏁 Basic Usage

import { Satori } from 'satori-node';

const client = new Satori({
  username: 'user',
  password: 'password',
  host: 'ws://localhost:2310'
});

await client.connect();
If you are inserting a vector you must specify data to a [f32] and type to vector

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🗃️ CRUD Operations

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Create Data

await client.set({
  key: 'user:123',
  data: { name: 'John', email: '[email protected]' },
  type: 'user' 
});
If you are inserting a vector you must specify data to a [f32] and type to vector

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Read Data

const user = await client.get({ key: 'user:123' });

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Modify a Field

await client.put({
  key: 'user:123',
  replace_field: 'name',
  replace_value: 'Peter'
});

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Delete Data

await client.delete({ key: 'user:123' });

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🧩 Advanced Queries with field_array 🔍

You can perform operations on multiple objects that meet certain conditions using the field_array field: 
await client.get({
  field_array: [
    { field: 'email', value: '[email protected]' }
  ],
});
  • field_array is an array of conditions { field, value }.
  • You can combine it with one: true to get only the first matching result.

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🔔 Real-time Notifications

Receive automatic updates when an object changes! 
client.notify('user:123', data => {
  console.log('User updated!', data);
});

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🕸️ Relations and Graphs

You can create relationships between objects (vertices): 
await client.setVertex({
  key: 'user:123',
  vertex: 'friend:456',
  relation: 'friend',
  encryption_key: 'secret'
});
And traverse the graph with DFS: 
await client.dfs({ node: 'user:123', encryption_key: 'secret' });

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🔐 Encryption and Security

Easily encrypt and decrypt data: 
await client.encrypt({ key: 'user:123', encryption_key: 'secret' });
await client.decrypt({ key: 'user:123', encryption_key: 'secret' });

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🧰 Schema Class (Data Model)

You can use the Schema class to model your data in an object-oriented way: 
import Schema from 'satori-node/schema';

class User extends Schema {
  // Define your fields here
}

const user = new User({ name: 'Anna' }, client, 'user');
await user.set();
It includes useful methods such as:
  • set, delete, encrypt, setVertex, getVertex, deleteVertex, dfs
  • Array methods: push, pop, splice, remove

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📦 Array Manipulation Methods

Below are the available methods to manipulate arrays in the Satori database using the Node.js client:

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🔹 push

Adds a value to an existing array in an object. 
await client.push({ key: 'user:123', array: 'friends', value: 'user:456' });
  • key: Object key.
  • array: Name of the array.
  • value: Value to add.

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🔹 pop

Removes the last element from an array in an object. 
await client.pop({ key: 'user:123', array: 'friends' });
  • key: Object key.
  • array: Name of the array.

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🔹 splice

Modifies an array in an object (for example, to cut or replace elements). 
await client.splice({ key: 'user:123', array: 'friends' });
  • key: Object key.
  • array: Name of the array.

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🔹 remove

Removes a specific value from an array in an object. 
await client.remove({ key: 'user:123', array: 'friends', value: 'user:456' });
  • key: Object key.
  • array: Name of the array.
  • value: Value to remove.

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🤖 AI Methods

Satori has AI features integrated that boost developers productivity.

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🔹 set_middleware

Make the LLM analyze incoming querys and decide if it must reject them, accept them or modify them. 
await client.set_middleware({
    "operation": "SET",
    "middleware": "Only accept requests that have the amount field specified, and convert its value to dollars"
});

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🔹 ann

Perform an Aproximate Nearest Neighbors search 
await client.ann({'key' : 'user:123', 'top_k' : '5'});
  • key: Source object key.
  • vector: Vector of f32 instead of key
  • top_k: Number of nearest neighbors to return

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🔹 query

Make querys in natural language 
await client.query({'query' : 'Insert the value 5 into the grades array of user:123', 'backend' : 'openai:gpt-4o-mini'|);
  • query: Your query in natural language.
  • ref: The LLM backend. Must be openai:model-name or ollama:model-name, if not specified openai:gpt-4o-mini will be used as default. If you’re using OpenAI as your backend you must specify the OPENAI_API_KEY env variable.

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🔹 ask

Ask question about your data in natural language 
await client.ask({'question' : 'How many user over 25 years old do we have. Just return the number.', 'backend' : 'openai:gpt-4o-mini'});
  • question: Your question in natural language.
  • ref: The LLM backend. Must be openai:model-name or ollama:model-name, if not specified openai:gpt-4o-mini will be used as default. If you’re using OpenAI as your backend you must specify the OPENAI_API_KEY env variable.

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Analytics

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🔹 get_operations

Returns all operations executed on the database.

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🔹 get_access_frequency

Returns the number of times an object has been queried or accessed. 
await client.get_access_frequency({'key' : 'jhon'})

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Responses

All responses obbey the following pattern: 
{
  data: any //the requested data if any
  message: string //status message
  type: string //SUCCESS || ERROR
}
AI responses obbey a different patern:

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ask

{
  response: string //response to the question
}

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query

{
  result: string //response from the operation made in the db
  status: string //status
}

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ann

{
  results: array //response from the operation made in the db
}

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🧠 Key Concepts

  • key: Unique identifier of the object.
  • type: Object type (e.g., ‘user’).
  • field_array: Advanced filters for bulk operations.
  • notifications: Subscription to real-time changes.
  • vertices: Graph-like relationships between objects.

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💬 Questions or Suggestions?

Feel free to open an issue or contribute! With ❤️ from the Satori team.