Answers in Under 3 Seconds. One System. Every Knowledge Base.
We build retrieval-augmented generation systems that plug into your product docs, CRM data, and internal wikis. One deployment replaced three separate tools and cut support volume by 4.8x.
<3s
Average Response Time
Across all knowledge bases
91%
Resolution Rate
Without human escalation
4.8x
Support Deflection
Fewer tickets to human agents
The Problem
The client ran three disconnected tools: a Confluence wiki, a Zendesk help center, and a CRM with embedded product notes. Agents spent more time searching than answering. Average handle time hit 14 minutes. Escalation rate sat at 38%. Docs went stale within weeks.
What We Built
A RAG pipeline that ingests all three sources on a nightly sync, chunks and embeds content into Pinecone, and exposes a unified chat interface. It cites sources, flags low-confidence answers for human review, and logs everything to Supabase. Same architecture powers their external chatbot and internal sales discovery agent.
The Stack
Pinecone
Vector embeddings
Sub-100ms semantic search across millions of chunks
Supabase
Database and logging
Full query log, user sessions, feedback loop for retraining
OpenAI Ada
Embedding model
1536-dim embeddings with cosine similarity retrieval
GPT-4o
Generation model
Context-aware answers with source citations baked in
Performance vs Alternatives
Response Time Benchmark (seconds)
What It Looks Like
Customer-Facing RAG Chatbot
Embedded directly into the product. Answers questions, links to docs, and hands off to a human when confidence drops below threshold.
Branded Internal Intelligence Tool
Think Cluely, but fully custom and connected to your internal docs. Out-of-the-box tools like this cost $200 per person per month. This runs at $20 per person in LLM costs. That is a 10x saving, every month, forever.
"One system replaced three separate tools. Our support team now handles edge cases only. Everything else the bot gets right, first time, in under 3 seconds."
Tom Reeves
CTO, Enterprise SaaS
Want instant answers from your knowledge base?
We connect, embed, and deploy your RAG system in under 2 weeks.
Talk to us