Model

Vector Database Creator Module

Transform your text into a searchable vector database, ideal for powering intelligent retrieval systems and AI memory workflows.

Provider

Netflow

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Overview

The Vector Database Creator module converts textual content into vector embeddings that can be efficiently stored, indexed, and searched. It is perfect for building knowledge bases, memory systems, or smart retrieval pipelines. Pair it with modules like Web Scrapers, PDF Readers, or other text sources to create a structured, searchable database.

Key Features

Vectorization of Text

Searchable Knowledge Base

Scalable Storage

Semantic Search Support

Use Cases

Knowledge Management

AI Memory Systems

Semantic Search

Content Retrieval

User Manual

1. How to Use the Vector Database Creator Module

Drag & Drop – Drag the Vector Database Creator module into your workspace.

2. Connect Input Text

Link this module to the output of a text-based module (e.g., Web Scraper or PDF Reader). Example: Use content from a scraped webpage or uploaded document.

3. Run the Module

Click to convert the input into vector embeddings and store them.

4. View the Result

Your vector database appears in the Vector Database Output section.