Build an AI knowledge assistant using your documents

I will build a focused AI knowledge assistant that answers questions using your supplied documents.

Unlike a generic chatbot, the assistant retrieves relevant information from your knowledge base before generating an answer.

The base prototype includes:

- Up to 10 documents or 100 pages
- Document processing and chunking
- Embedding and retrieval setup
- Question-and-answer interface
- Answers grounded in supplied content
- Source or document references
- Basic fallback when the answer is unavailable
- Up to 20 evaluation questions
- Simple web interface or API endpoint
- Setup and handover documentation

Suitable for:

- Internal policies
- Product documentation
- Training material
- Customer-support knowledge
- Research libraries
- Consulting knowledge bases

This is a focused prototype intended to validate usefulness and answer quality before a larger production build.

Buyer requirements

- Documents in accessible formats
- Up to 20 representative questions
- Expected answer style
- Intended users
- Confidentiality requirements
- Preferred model or API account
- Hosting preference
- Branding requirements, when applicable

Not included

- More than 100 pages
- OCR-heavy scanned archives
- Multilingual evaluation
- User authentication
- Enterprise security review
- Complex role permissions
- Production analytics
- Unlimited hosting
- API usage charges

## Portfolio proof

Support this with:

- Insight Journal retrieval and structured-context architecture
- Evidra.ai evidence retrieval concepts
- Your RAG and AI workflow capabilities
- A dedicated architecture diagram