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 cannot find answers fast. The goal: search across all of it, grounded in real documents, with responses that cite their source.

What I did

Built the document orchestration and retrieval layer: ingestion pipelines across heterogeneous sources (Confluence, SharePoint, S3 and others), embeddings and vector semantic search, grounded responses that cite real content rather than inventing it, and 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.

Book your fit call