Outcome
A working knowledge assistant with content ingestion, retrieval design, answer generation, source-aware responses, a usable API/UI, and documented limitations.
Make internal knowledge easier to use
Internal documentation assistant
Reduce repeated manual answers
Support knowledge base assistant
Ground answers in source material
Sales enablement assistant
Create a base for future agent workflows
Policy or process assistant
What you receive
- Content ingestion flow
- Retrieval implementation
- Assistant API
- Frontend or admin interface
- Evaluation notes
- Limitations and improvement plan
Methodology
- Review content and user question patterns
- Design ingestion and retrieval approach
- Build retrieval and answer generation flow
- Add source/context handling
- Test against realistic questions
- Document limitations and next improvements
Scope
Includes one knowledge domain, document/content ingestion, chunking approach, embedding/retrieval setup, answer generation flow, API or simple frontend, source references where possible, and evaluation notes. This is not a guarantee of perfect answers and does not include large-scale enterprise search unless scoped separately.
Details
What to expect from this engagement
What is included?
I build RAG-style assistants that ingest content, retrieve relevant context, and answer with grounded responses. The focus is making internal knowledge usable through an assistant, API, or product interface.
Who is it for?
Teams with documents, support content, policies, or internal knowledge that they want to operationalize.
What do you need to provide?
Requires sample documents/content, expected user questions, access rules, preferred model/provider, and examples of good answers. Does not include cleaning a large unstructured knowledge base or complex permissions unless scoped separately.