A clear path from
question to source.
InkToBrain’s own retrieval layer builds on established search methods to select relevant document context and connect answers to sources you can review.
Industry & regional requirementsA conceptual view of the retrieval pipeline
Choose a stage to see its role.
Start with your documents.
PDFs and other supported files enter your library. The original source files are kept separately from the searchable database.
Turn documents into passages.
Text is extracted and organized into smaller passages, with section information that helps connect a result back to its source.
One organized knowledge library.
SQLite stores document records, text passages, metadata and links to the original files. The search index lives in this same database.
Make knowledge searchable.
An FTS5 index supports keyword search. When semantic search is enabled, stored embeddings also help find related meaning.
Find the context that matters.
Document access limits the search. Matching passages are ranked; when enabled, keyword and semantic results are combined to build context.
An answer with references.
Relevant passages go to the configured AI provider. The response is streamed with source references for your team to open and review.
Check the answer against its source.
Open the cited material and check the details before acting. This is a human review step, not an automated guarantee that every fact is correct.
Inside InkToBrain’s retrieval layer
Keyword search finds matching passages. When enabled, semantic search also looks for related meaning. InkToBrain brings those results together, expands searches when initial results are sparse, and provides source references alongside document answers.
These steps support relevance and traceability. They do not independently verify every fact. Review the cited material before relying on an answer for an important decision.
For document questions, relevant passages are shared with the configured AI provider. Full-document reads and other workflows may share more context.
Data privacy
Discuss storage, retention and AI-provider data flows with our team as part of your setup.
Access controls
Set document access and project membership so people work with the knowledge intended for them.
Human oversight
Review email drafts before sending and approve proposed project-agent actions.
Data protection shaped around your business.
Healthcare, finance and other industries have different requirements for their data. We work with each client to identify the requirements for their industry and region, then take care of the agreed technical setup for data access, handling and retention.
Plan your rollout around your security and compliance requirements.
Read our privacy policy