RAG Pipelines Embeddings Terraform

Knowably.ai

Document orchestration and grounded search across every source a team uses.

Role

Engineer / Architect

Sector

SaaS / knowledge tooling

Challenge

Teams keep knowledge scattered across Confluence, SharePoint, S3 and more and can't find answers fast. The goal: search across all of it, grounded in real documents.

What I did

Built the document orchestration and retrieval layer — ingestion pipelines across heterogeneous sources, embeddings and vector semantic search, and grounded responses that cite real content. Infrastructure as code with Terraform.

The solution

A search-and-answer system spanning Confluence, SharePoint, S3 and more from one interface, with grounded, trustworthy responses.

Outcome

A working multi-source document-AI product.

Stack

RAG Embeddings pgvector Terraform S3 / SharePoint / Confluence

— Let's see if we're a fit

A free, no-pressure 20-minute call.

Tell me what you're building or what's stuck, and I'll be straight about whether I'm the right person.

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