A knowledge-grounded assistant with real memory
A retrieval-based assistant that continuously learns from approved documents, handles live attachments, remembers the conversation, and routes different intents through specialized modes.
The challenge
Where the workflow was breaking
Useful answers were scattered across internal files, live chat depended on staff availability, uploaded documents required manual review, and basic bots lost context between messages.
The system
What we built
We paired an automatic document-ingestion pipeline with vector search, persistent session memory, file processing, and intent-specific conversation flows for support, qualification, recruitment, and general help.
System map
From input to controlled outcome
- 01
Approved files
- 02
Extraction and chunking
- 03
Vector knowledge base
- 04
Intent routing
- 05
Grounded response
Controls built in
- Business-specific answers are grounded in the approved knowledge base.
- Unknown information is acknowledged instead of invented.
- Conversation state is isolated by session identifier.
Capabilities delivered
Client, company, product, and website identities are withheld. Operational details are shown only at the level needed to explain the system.
Build the system behind your next operational win
Bring us the workflow, the constraints, and the tools you already use. We will turn them into a focused implementation plan.