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
Ready in seconds. No setup required connect Vector Database Creator Module to your workflow instantly.
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.
Try Now
See Vector Database Creator Module in Action
Build your first workflow in under 60 seconds drag, drop, done.
Launch Interface
Quick Info
Category
Model
Provider
Netflow
Module Type
Vector Database Engine
Tags
Vector DatabaseEmbeddingsKnowledge BaseSemantic SearchAI MemoryWorkflow Automation
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2 min setup