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


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
AI Voice Agent and RAG Pipeline Engineer, n8n, ElevenLabs, Qdrant
- FromUnited States
- Member sinceJan 2020
Languages
English
FAQ
Q: What data formats can you ingest into the RAG pipeline?
A: CSV, JSON, plain text, PDFs, Google Sheets, or direct database connections. If you have data in any format, I can work with it.
Q: Do I need my own server or API keys?
A: For Basic I can use existing infrastructure. Standard and Premium include Hetzner VPS deployment — I set it up, you own it. You'll need an OpenAI API key (takes 2 minutes to create, costs pennies per query).
Q: How is this different from just using ChatGPT?
A: ChatGPT answers from the internet. This answers from your specific data only — your business listings, your products, your documents. It never makes up answers from outside your knowledge base.
Q: What if my data changes over time?
A: I build the ingestion pipeline so re-indexing is one click. Add new data to your source, run the workflow, it's updated in minutes.

