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Bubble.io + Relevance AI RAG Integration Developer

Search - API Integration · ai_analyzed · UID ~022076013623655062673

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Job Details

Budget $? - $?/hr
ExperienceExpert
DurationUnknown
Weekly hoursLess than 30 hrs/week
Client countryAbout the client
Proposals15 to 20
Interviewing0
Invites sent0
First seenSat, Jul 11, 2026 8:29 PM
Last seenMon, Jul 13, 2026 8:13 PM

Description

Summary I have a fully built Bubble.io web application that needs a Relevance AI RAG (Retrieval-Augmented Generation) integration completed. The core foundation has been partially built — document upload to knowledge base and basic chat functionality were working at one point. I need an experienced developer to complete and properly implement the full integration. What's Already Built: Complete Bubble.io application with user authentication and role-based routing Multi-tenant database structure (multiple separate accounts each with their own isolated data) Document upload portal Chat interface UI (fully designed and functional — just needs AI connected) Bubble API Connector installed and partially configured Relevance AI account with agents and knowledge bases set up All necessary database fields already created What I Need Completed (4 Tasks): Task 1 — Document Upload Syncing When a user uploads a document in Bubble, it must automatically sync to their specific Relevance AI knowledge set. The Relevance AI document ID returned must be saved back to the corresponding Bubble record. Task 2 — Chat Integration When a user sends a message in the chat interface, it must be routed to their specific Relevance AI agent and return a synchronous response displayed in the chat. Each account must only receive answers from their own isolated knowledge base — cross-account data must never mix. Response must be saved to the database. Task 3 — Document Deletion Syncing When a user deletes a document in Bubble, it must simultaneously be deleted from their Relevance AI knowledge set using the document ID stored in the database. Task 4 — Citation Tracking When the AI responds, it must extract which source document was cited and save that reference back to the database for analytics purposes. Technical Stack: Bubble.io (no-code frontend and backend) Relevance AI (RAG engine) REST API integration via Bubble's API Connector Region and API credentials will be provided upon hiring Important Requirements: Must have demonstrated Bubble.io experience Must understand RAG systems and API integrations Multi-tenant account isolation is non-negotiable — each account's data must be completely separate Please provide examples of similar Bubble.io API integration projects you have completed Project Scope: This is a focused integration project — not a full app build. The application is complete. You are connecting the existing Bubble app to the existing Relevance AI setup and ensuring all four tasks above work correctly and reliably.

Skills

API Integration API JavaScript

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