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Case study
slackAgent
AI-Powered Slack Bot with RAG
40%
faster responses
50+
daily queries served
20+
documents indexed
The problem
Teams ask the same questions that are buried across 20+ documents. The aim: answer them inside Slack, grounded in those docs, fast enough to feel native.
Approach
01
RAG over team docs
LlamaIndex + ChromaDB semantic search across 20+ documents, served behind a FastAPI backend with grounded, citable answers.
02
Slack-native + automated
End-to-end automation via n8n; answers are delivered in-channel through the Slack API with no manual steps.
Stack
FastAPILlamaIndexChromaDBOpenAIn8n
Next case study
RAG-QA on AWS
Retrieval-Augmented QA, fully CI/CD