Configuration Overview - View Platform

Overview

Configuration management provides comprehensive system customization and deployment optimization capabilities within the View platform. In a default installation, objects are created automatically to enable quick setup and deployment. To customize View and configure it to your specific requirements, use the configuration APIs to:

Tenant Management: Define one or more tenants, that is, isolated domains within your deployment (e.g., different departments)
User Management: Define one or more users and their credentials for secure access control
Metadata Rules: Define metadata rules for how metadata is generated and where it is stored
Embeddings Rules: Define embeddings rules for how embeddings are generated, using which model, and where they are stored
Lexi Collections: Define collections within your Lexi data catalog for organized data management
Vector Repositories: Define vector repositories where embeddings and related metadata are stored
Graph Repositories: Define graph repositories where your graph representations and metadata are stored

Key Configuration Areas

Multi-Tenant Architecture: Configure isolated domains and departments within your deployment
User Access Control: Manage users, credentials, and authentication for secure platform access
Metadata Processing: Configure automated metadata generation and storage for enhanced content analysis
AI-Powered Analysis: Configure embeddings generation and vector storage for AI-powered content understanding
Data Organization: Configure collections and repositories for organized data management and retrieval
Graph Processing: Configure graph repositories for relationship data and metadata storage

SDK Setup

JavaScript SDK Setup

Install SDK from npm

npm install view-sdk

Initialize Configuration Sdk

import { ViewConfigurationSdk } from "view-sdk";

const api = new ViewConfigurationSdk(
  "00000000-0000-0000-0000-000000000000", //tenant Id
  "default", //access token
  "http://localhost:8000/" //endpoint
);

Python setup

Install SDK from pip

pip install view-sdk

Initialize Configuration Sdk

import view_sdk

sdk = view_sdk.configure( access_key="default",base_url="http://localhost:8000/", tenant_guid= "00000000-0000-0000-0000-000000000000")

C# setup

Install SDK from NuGet

dotnet add package View.Sdk

Initialize Configuration Sdk

using View.Sdk;
using View.Sdk.Configuration;

public static class Example {
    public static async Task Main(string[] args)
    {
        ViewConfigurationSdk sdk = new ViewConfigurationSdk(Guid.Parse("00000000-0000-0000-0000-000000000000"),"default", "http://localhost:8000/","default");
      
    }
}

Best Practices

When implementing configuration management in the View platform, consider the following recommendations for optimal system customization, deployment optimization, and configuration management:

Tenant Strategy: Implement effective tenant management strategies for multi-tenant deployments with proper isolation and resource allocation
User Access Control: Configure comprehensive user access control with appropriate authentication and authorization mechanisms
Metadata Configuration: Optimize metadata rules and processing for enhanced content analysis and search capabilities
AI Configuration: Configure embeddings and vector repositories for optimal AI-powered content understanding and analysis
Repository Management: Implement effective repository management strategies for organized data storage and retrieval

Next Steps

After successfully implementing configuration management, you can:

System Customization: Customize your View deployment with specific configurations for your organization's requirements
Multi-Tenant Setup: Implement multi-tenant architecture for isolated domains and departments
User Management: Set up comprehensive user management with secure access control and authentication
AI-Powered Analysis: Configure AI-powered analysis capabilities with embeddings and vector repositories
Data Organization: Organize your data with collections and repositories for optimal management and retrieval