Hey everyone,
I’m excited to share a new template we’ve released at Momentum: the AI Chat Knowledge Base, a complete, production-ready AI chat system built entirely on Bubble and powered by OpenAI’s latest 2025 endpoints, including Responses, Conversations, Files, and Vector Store.
Over the past year, more teams and experts have asked for private, internal AI tools that can answer questions based on their own documents, without relying on public platforms like ChatGPT. At the same time, companies need visibility into how staff use AI and what information is being sent to external models. So we built a template that solves these problems in a clean, extensible way using Bubble’s native features.
Below is an overview of what it does, who it’s for, and how you can extend it.
Loom Bubble Editor Walkthrough (10 mins)
What the template is
The Momentum AI Chat Knowledge Base is a fully private AI chat system that you host inside your own Bubble app. Users can upload content, summarise it automatically, embed it, and then chat with an assistant that references those documents using a retrieval workflow backed by OpenAI’s Files + Vector Store APIs.
The Responses API handles the generation of replies, and the Conversations API manages ongoing chat threads, letting you build a ChatGPT-style interface inside Bubble with complete ownership of the data.
There are no per-user fees, no SaaS lock-in, and no dependency on third-party plugins. Everything is done with Bubble’s API Connector and standard workflows.
Who it’s for
1. Teams and businesses
This template can be used as an internal knowledge assistant. Examples include HR, operations, compliance, training, or general policy queries. Team members ask questions like “What is our travel reimbursement policy?” or “How do I handle a customer escalation?” and the system answers based on exactly the documents you’ve uploaded.
2. Coaches, experts, educators, and consultants
Subject matter experts can turn their content into an AI-powered knowledge product. You can allow subscribers to chat with lessons, frameworks, or training documents. Stripe Checkout can be added for paid access.
3. Governance and compliance
A major motivator for this template is governance. Companies currently have no visibility into what staff paste into ChatGPT or other SaaS AI tools. With this template, all prompts and responses are stored in your Bubble database. You can review usage, detect policy breaches, and prevent confidential or client information from leaking into external systems.
This is becoming one of the biggest drivers for private AI adoption.
Key features (developer-friendly details)
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Built entirely with Bubble’s native tools and the API Connector
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Supports OpenAI’s newest 2025 endpoints:
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Responses for generating answers
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Conversations for managing message threads
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Files for document upload and preprocessing
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Vector Store for embedding, chunking, and retrieval
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Customisable RAG-lite pipeline that selects context before each chat
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Document uploader with automatic summarisation and tagging
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Role-based access control using Bubble’s option sets and privacy rules
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Department-level access filtering
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Chat history stored for audit and compliance
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Assistant configuration page for model selection, tone, and behaviour
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One assistant by default but easily extendable to multi-assistant setups
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White-labelling support: custom logo, colours, and domain
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Stripe-ready for subscription use cases
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Clean, extendable data types and workflow structure
No plugins, no hidden scripts, and no server-side code.
Why not just use ChatGPT Team, Notion AI, Guru, or Slite?
Most AI SaaS tools are not designed for deep customisation or governance. Common limitations include:
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No visibility into user prompts
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No ability to enforce policy or review usage
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No role-based document access beyond simple tags
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Per-seat pricing that scales poorly
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No branding or white-labelling
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No way to integrate into an existing Bubble app
With this template, you get:
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Unlimited users (of your Bubble app)
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Full data ownership
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Complete control over prompts and responses
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Back-end governance for compliance
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Easy extensibility and integration with your existing workflows
This makes it viable for use as an internal AI tool, a commercial SaaS, or a knowledge product for experts.
Real-world applications
Here are some examples of how early adopters are using it:
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Healthcare clinic storing internal SOPs and care guidelines
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Creative agency giving junior staff access to brand guidelines and production workflows
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Coaching business providing AI tutoring for paid members
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Non-profit sharing governance and volunteer guidelines
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SaaS startup deploying an internal AI support bot
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Education provider creating a course-specific Q&A assistant
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Compliance team monitoring AI use across the organisation
The common theme is secure, private, role-aware AI access.
If you’re a Bubble developer
You’ll find this template useful as a starting point for:
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Building your own AI SaaS
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Creating a multi-tenant AI knowledge platform
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Adding RAG to an existing internal tool
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Packaging expert content into commercial products
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Extending the retrieval pipeline
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Implementing tool calling or agent behaviours
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Even just learning how to work with the OpenAI endpoints or build a ChatGPT style interface.
Because everything is exposed transparently in the API Connector, it’s easy to modify requests, add additional metadata, or integrate with your own workflows.
Want to try it?
You can preview the template or read the full documentation here:
Template page: Ai Chat Knowledge Base Template | Bubble
Documentation: https://momentum-group.gitbook.io/ai-chat-knowledge-base/
If you have questions about RAG, Conversations API implementation, role logic, or extending the assistant system, I’m happy to answer anything here on the forum.
Happy building,
Will @ Momentum