Built · Internal Operations
OpsPilot: AI Internal Operations Assistant
How we measure success
- 01
Answer grounding in approved documents
- 02
Citation coverage on every response
- 03
Retrieval relevance across the knowledge base
- Status
- Built
- Industry
- Internal Operations
- Service
- AI & Generative AI
01The problem
Policies, handbooks and runbooks live in scattered files, so employees interrupt colleagues or act on outdated information to find simple answers.
02Why it's hard
Keeping AI answers grounded strictly in approved company documents, making every answer verifiable, and separating who curates knowledge from who consumes it.
03What we built
Built a retrieval-augmented assistant: admins curate a document knowledge base, members ask questions in plain language, and answers are generated only from retrieved sources with citations attached.
04Outcome
Delivered a working, deployed assistant that turns internal documentation into a searchable knowledge base with cited, verifiable answers.
Under the hood
- RAG pipeline in FastAPI + LangChain with vector search on PostgreSQL pgvector
- Document storage on Supabase Storage feeding the curated knowledge base
- LLM inference on Groq, with source citations attached to each answer
- Next.js chat interface built on the Vercel AI SDK
- Role-based access: admins curate documents, members get a focused assistant
Technology
- FastAPI
- LangChain
- Groq
- PostgreSQL
- pgvector
- Supabase Storage
- Next.js
- Vercel AI SDK
Next example solution
CRM & Outreach Platform
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