LLM Orchestration

Plugin Knowledge Base Backend

Backstage backend plugin for RAG capabilities with embedding providers and vector stores.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0

What it is

A reusable Backstage backend plugin that provides Retrieval-Augmented Generation (RAG) capabilities, including embedding providers and vector stores for efficient knowledge retrieval. It is designed to enhance the functionality of Backstage by integrating AI-driven knowledge management features.

The only vector database plugin for Backstage that provides both embedding providers and vector stores, making it uniquely suited for RAG applications within the Backstage ecosystem.

When it fits — and when it doesn’t

A good fit for

  • Developers looking to integrate RAG capabilities into their Backstage applications.

  • Teams working on knowledge management systems within the Backstage ecosystem.

Look elsewhere if

  • Projects that require real-time streaming of data (batch-only architecture).

  • Use cases where a cloud-hosted solution is preferred over self-hosting.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation and examples for complex use cases

    Documentation lacks detailed guides on integrating with various vector stores and embedding providers

  2. 02

    Performance issues at scale

    Known performance bottlenecks when handling large datasets for embedding generation and retrieval

What it does well

  • Embedding providers for generating embeddings from text data.

  • Vector stores for efficient storage and retrieval of embeddings.

  • Integration with Backstage for seamless knowledge management.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Plugin Knowledge Base Backend

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Plugin Knowledge Base Backend — tracked on AI Navigator

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