BSA Chatbot: AI Motorcycle Support Platform
An AI support chatbot that answers BSA motorcycle questions from official manuals, with source references and human handoff.

platform
Web Application, AI Development
team
1 Member
location
Australia
industries
Automotive
Project Background
Project Background
BSA Chatbot is an AI support and knowledge platform for BSA motorcycle dealers and riders. It answers technical questions from official motorcycle manuals, diagnostic documents, parts catalogues and curated answers.
The platform combines a chat widget that dealers embed on their websites, a standalone knowledge base, an admin portal and a document ingestion pipeline. Its retrieval-augmented generation (RAG) setup grounds each answer in the indexed documentation and shows source references where available. Questions the system cannot answer with confidence go to the support team for a human reply.

Business Needs

Business Needs
Dealers and support teams needed fast, model-specific answers that were spread across manuals, diagnostic procedures and parts catalogues. The platform had to:
- Answer technical questions from official BSA documentation
- Recognise motorcycle models and variants to keep answers relevant
- Show source references with each answer where available
- Keep conversation history for follow-up questions
- Hand unresolved questions to human support staff
- Let admins manage documents, curated answers, the vehicle registry and unanswered questions
- Process new manuals, diagrams and parts catalogues through a repeatable pipeline
Tech stacks

Python
For Backend

Open AI
For API

React
For Frontend

PostgreSQL
For Database

AWS
For Cloud Services

PostgreSQL
For Database

AWS
For Cloud Services
FastAPI
For Backend
Pinecone
For Database
JavaScript
For Language
OpenCV
For AI / ML
DigitalOcean
For Cloud Services
FastAPI
For Backend
Pinecone
For Database
JavaScript
For Language
OpenCV
For AI / ML
DigitalOcean
For Cloud Services
Service Provided
Project Challenges
- Complex technical documents: Manuals and parts catalogues mix text, tables, diagrams and images that need extraction, cleanup and indexing before they can be searched.
- Model and variant recognition: The same question can need different answers for the Gold Star, Bantam and Scrambler, so retrieval has to follow model references, follow-ups and corrections without mixing documents.
- Reliable AI answers: General language models can invent technical details. Document-grounded retrieval, relevance filtering, reranking and confidence checks keep answers tied to the source.
- Human escalation: Some questions lack supporting documentation. The platform keeps the conversation context and gives the support team a clear handoff and resolution flow.
- Knowledge base upkeep: New manuals and catalogue updates need repeatable processing, image matching, embedding generation and publishing.
- Operational monitoring: Several backend services and ingestion stages need job tracking, error visibility, retries and cancellation.

Strategy and Solutions

- AI knowledge retrieval with RAG, OpenAI models and Pinecone semantic search
- Model-aware conversations that filter by motorcycle model and variant
- Streamed answers with source references and related images
- Dealer chat widget plus a standalone knowledge base
- Human handoff for visitor requests and low-confidence answers
- PDF and image ingestion with text cleanup and image captions
- Parts catalogue processing with a dedicated parts lookup index
- Admin portal with session history, handoffs and question analytics
- Curated question and answer management with alternative phrasings
- Vehicle model registry with aliases and variants
- Pipeline monitoring with stage status, retries and publishing controls
Results & Impact
- One AI support platform for technical answers from BSA documentation
- Model-aware retrieval that keeps motorcycle families and variants apart
- Streamed answers with documentation references and related images
- An embeddable chatbot for dealers and a standalone knowledge base for riders
- Human escalation so support staff can pick up unresolved questions
- A repeatable pipeline that turns manuals, diagrams and parts catalogues into searchable knowledge
- Admin tools to manage curated answers, review unanswered questions and monitor ingestion jobs

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