case study
A retrieval augmented generation system trained on Finabeo documents, case studies, and major hyperscaler documentation, providing fast and attributable answers for consulting and marketing tasks.
Industry
Client Overview
Case Study Overview
We built a private RAG stack that ingests company content and selected cloud docs, normalizes them, and serves precise answers with citations. The agent supports project work, proposals, and content creation by grounding outputs in trusted sources.
Knowledge lived in scattered folders and vendor docs. People lost time finding the right detail or reused outdated text.
Internal queries resolved faster, proposal drafts contained correct references, and content quality improved through easy citation of source material. New hires onboarded faster by self serving answers to common questions.
We audited content types, set ingestion rules, and tuned retrieval for jargon heavy queries. We added guardrails for style and included a feedback loop to improve recall and precision over time.
Unified corpus
Combines Finabeo docs, case studies, and selected hyperscaler references into one searchable layer.
Precise retrieval
Retrieves the right chunk, not the whole document, and cites it.
Attribution by default
Every answer includes sources so users can verify and copy with confidence.
Role tuned prompts
Different prompt presets for consultant tasks and marketing tasks.
Freshness controls
Scheduled re ingestion keeps vendor changes current.
Access control
Respects document permissions and keeps sensitive data private.
