Model

Vector Database Retriever Module

Search your vector database using natural language queries and retrieve the most relevant matches instantly.

Provider

Netflow

Overview

The Vector Database Retriever module allows you to query your vector database with natural language, retrieving the most relevant results based on semantic similarity. Ideal for Q&A systems, content retrieval, AI assistants, or any workflow requiring intelligent search over structured knowledge.

Key Features

Natural Language Querying

Semantic Matching

Integration-Ready

Fast & Accurate

Use Cases

Q&A Systems

Content Retrieval

Knowledge Management

Educational Tools

User Manual

1. How to Use the Vector Database Retriever Module

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

2. Enter Query

Type a natural language question or prompt to search your vector database. Example: “What are the benefits of AI in medicine?”

3. Connect Vector Database

Link the output from a Vector Database Creator module in the Vector Database field. Tip: The more aligned your query is with the input content, the better the match.

4. Run the Module

Click to perform the semantic search.

5. View the Result

The matched results appear in the Text Output section. Tip: Ideal for creating Q&A systems, content retrieval pipelines, or smart AI assistants.