Knowledge management / Project story
Answers grounded in company documents.
A custom RAG chatbot connecting a document collection to a conversational interface.
The challenge
A conversation with your knowledge base.
Users needed a more direct way to find relevant information in a proprietary document collection.
Vertex AI · RAG · Streamlit · Docker · Cloud Run
The approach
How the workflow comes together.
- 01
Prepare the documents
Build the knowledge collection used for retrieval.
- 02
Retrieve and respond
Supply relevant document context to the language model when a question is asked.
- 03
Deploy the interface
Run the Streamlit application in a Docker container on Cloud Run.
Project scope
Built for the task.
This story describes an individual project. Scope and results depend on the inputs, environment and requirements of each implementation.
- Document retrieval pipeline
- Conversational interface
- Containerised service
- Cloud monitoring
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