Service 01
Applied AI, RAG & Enterprise Knowledge Systems
Turn your business documents, databases and internal knowledge into intelligent, searchable information systems.
Outcome: Help teams find accurate information faster and make better use of organizational knowledge.
Business challenges
- Knowledge is scattered across drives, inboxes and legacy systems
- Staff spend time searching for policies, contracts and past answers
- Generic AI tools can't safely access internal information
- Answers need to be traceable to a source document
Capabilities
- Retrieval-Augmented Generation
- Enterprise knowledge assistants
- PDF and document extraction
- Semantic search
- Vector databases
- Source citations
- Private AI deployments where appropriate
Typical deliverables
- Knowledge-source audit and ingestion plan
- Document processing and indexing pipeline
- Retrieval and answer-generation service with citations
- Secure assistant interface for your team
- Evaluation set and quality-review process
- Deployment and operations documentation
Technology approach
We start with the questions your team actually asks, then design retrieval around your documents, permissions and data residency needs. Model providers are chosen per project, including private or cloud-hosted options where appropriate.
- Python
- FastAPI
- PostgreSQL + pgvector
- Embeddings
- OpenAI / Anthropic APIs
- AWS Bedrock
Related use cases
- Policy and procedure assistant
- Contract and document search
- Customer-support knowledge base
- Invoice and form data extraction
Discuss AI & RAG for your business
Book a free strategy call. We'll explore where AI, automation or custom software can make a practical difference.