Challenge
The challenge
Organizations accumulate knowledge in the wrong shape for answering questions.
- Documents scattered across sources — files, tools, and repositories
- Meeting notes and unstructured notes that never join the official corpus
- Need for search and Q&A without sending sensitive content to public LLM APIs only
- Requirement for a full pipeline: ingest → process → transform → retrieve — not a one-off chatbot demo
Approach
What BlackPotato did
- Designed and delivered a self-hosted document and knowledge platform
- Multi-source ingestion — documents from diverse systems plus meeting-notes flows
- Processing and transformation into structured, retrievable knowledge assets
- Knowledge-base construction suitable for ongoing updates, not a static dump
- NLQ capabilities so users can ask questions in natural language over the corpus
- Kept the stack aligned with self-hosted and private operating constraints
Architecture
Capability map
Stage
Capability
Ingest
Multiple document sources · meeting notes
Process
Parse, clean, normalize, enrich
Transform
Chunking and structuring for retrieval
Knowledge base
Persistent, updatable corpus
NLQ
Natural-language access over the knowledge base
Host
Self-hosted deployment
Outcomes
Outcomes
- Single platform path from scattered docs and notes to answerable knowledge
- Self-hosted posture suitable for sensitive enterprise content
- Foundation for internal Q&A and knowledge workflows with NLQ
