
Summary: Practical walkthrough of a production retrieval-augmented knowledge base: ingestion, embeddings, metadata and a live build integrating Slack, wiki, GitHub and email.
– Anatomy: ingest messages, docs, code and databases; convert to embeddings with metadata.
– RAG explained: retrieved evidence is injected into prompts to make answers specific and reliable.
– Build demo: agent-driven connectors auto-ingest Slack, GitHub, YouTube and email into a Postgres-backed store.
– Outcome: higher retrieval precision, faster onboarding and searchable company memory at scale.
Quotes:
I thought it’d be kind of funny to make the whole world know I’m taller than Nick Jonas.
No floating 3D brain — just reliable pipelines that let anyone ask anything about the company.
With the knowledge base the model answered 17/20 questions correctly; without it, zero.
Statistics
| Upload date: | 2026-07-19 |
|---|---|
| Likes: | 2916 |
| Comments: | 194 |
| Statistics updated: | 2026-08-17 |
Specification: Cerebras Killed Notion, Obsidian, and Your “Second Brain”
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