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The VectorAI DB web UI provides a visual interface for managing collections, running queries, and inspecting your data. Access it directly from your browser with no additional tools required.
Docker Compose required: The web UI is only available when VectorAI DB is running via Docker Compose. Ensure your stack is up before accessing the interface. Setup instructions →

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Accessing the web UI

Once your Docker Compose stack is running, open your browser and navigate to: 
http://localhost:3002/dashboard
You should see the VectorAI DB dashboard load immediately. No login is required for local deployments. VectorAI DB web UI dashboard

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Overview

The web UI is divided into two main sections.
SectionDescription
ConsoleExecute REST API calls and inspect raw responses.
CollectionsBrowse, manage, and search your vector collections.

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Console

The Console lets you interact with the VectorAI DB REST API directly from the browser. Use it to run ad-hoc requests, test queries, and inspect API responses without leaving the interface. You can issue requests against any available API endpoint and view the full JSON response alongside HTTP status codes.

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Collections

The Collections section gives you a visual overview of all collections currently stored in VectorAI DB. From here you can perform the following actions.
  • View all existing collections and their configuration.
  • Inspect vector count, dimension size, and distance metric for each collection.
  • Browse individual vectors and their associated payloads.
  • Run similarity searches against a collection using a vector or an existing record’s ID.
  • Delete collections you no longer need.

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Browsing vectors

Select any collection from the list to open its detail view. The detail view displays a paginated table of all stored vectors along with their payload fields. You can scroll through records or filter by payload values to locate specific entries. To run a similarity search from the UI:
1

Open a collection

Select the collection you want to search from the Collections list.
2

Go to the Search tab

Click the Search tab within the collection detail view.
3

Enter a query vector

Enter a JSON array representing your query vector in the input field.
4

Set search parameters

Configure top_k to control how many results to return. Optionally apply payload filters to narrow results.
5

Run the search

Click Search to execute. Results appear ranked by similarity score, with each result showing its ID, score, and payload.

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Next steps

Explore these resources to learn more about working with VectorAI DB.

Python SDK

Use the Python SDK for programmatic access to VectorAI DB

REST API

Explore the full REST API reference

Core Concepts

Learn about collections, vectors, and payloads

Troubleshooting

Resolve common issues with VectorAI DB