I will build a self hosted rag knowledge base with n8n and qdrant

H
hittalk
H
hittalk
Jerell Ward

About this gig

I build self-hosted RAG pipelines that retrieve accurate information 

from your actual data not hallucinated answers from a general AI.


Live proof: I built and operate a RAG system with 6,876 vectors across 

336 US area codes. It answers questions about any city in America, 

routes to the nearest location when a city isn't in the network, and 

runs 24/7 on a $10/month Hetzner VPS. You can query it right now 

call 1-833-HIT-TALK and ask for studios anywhere in the US.


This is not a tutorial project. This is production infrastructure.


What you get:

- n8n ingestion workflow (CSV, database, website, or document)

- Qdrant vector database deployed and indexed with your data

- OpenAI embeddings configured and tested

- Custom system prompt tuned to your use case

- Chat interface or voice agent connected to your knowledge base

- Full source code + documentation

- I stay available until it works correctly


Perfect for: business directories, customer support bots, internal 

knowledge bases, product catalogs, appointment systems, or any use 

case where AI needs to answer from YOUR data not the internet.


Stack: n8n + Qdrant + OpenAI + Hetzner VPS

Get to know Jerell Ward

Jerell Ward

AI Voice Agent and RAG Pipeline Engineer, n8n, ElevenLabs, Qdrant

  • FromUnited States
  • Member sinceJan 2020
  • Languages

    English
I build production AI systems that actually run — not demos, not prototypes. Live proof: hittalk.net — music industry SaaS with 160 users, 200+ transactions, and an AI voice agent answering calls live on 1-833-HIT-TALK. She queries a self-hosted Qdrant database of 10,000+ studio listings across 336 US area codes and routes callers anywhere in America. What I build: - AI voice agents (ElevenLabs + Twilio + n8n RAG) - Self-hosted RAG pipelines (n8n + Qdrant + OpenAI) - Business automation (n8n, Make.com, 10+ API integrations) I don't use templates. I build infrastructure.