RAG Pipelines & AI Knowledge Bases
Retrieval-Augmented Generation systems that let your data power accurate, grounded AI answers — integrated with n8n for automation.
Service Overview
I build RAG systems that connect your documents, databases, and APIs to large language models — giving you accurate, source-cited answers rather than hallucinations. I also wire these pipelines into n8n for no-code automation and scheduling.
- Document ingestion — PDF, DOCX, HTML, Notion, Google Drive
- Vector store setup: ChromaDB, Pinecone, pgvector
- Hybrid search (semantic + keyword BM25)
- Re-ranking and context compression for accuracy
- n8n workflow integration for scheduled re-indexing
- REST API endpoint for your frontend or Slack/Teams bot
- Evaluation with RAGAS metrics
Key Features
Document Q&A
Vector Search
n8n Automation
Hybrid Retrieval
RAGAS Evaluation
Why Choose This Service
Fast Turnaround
Quick delivery without compromising quality
Quality Assured
Thorough testing and code reviews
Ongoing Support
30 days post-delivery support included
What You'll Get
Clean Code
Well-documented, maintainable code
Version Control
Git repository with commit history
Documentation
Comprehensive technical docs
Deployment
Production deployment support
Our Proven Process
A systematic approach to deliver exceptional results every time
Discovery
In-depth consultation to understand your goals, requirements, and vision
1-2 daysPlanning
Detailed project roadmap with milestones, timelines, and deliverables
2-3 daysDevelopment
Agile development with regular updates and progress reviews
3–7 weeksDelivery & Support
Deployment, training, and 30 days of post-launch support
OngoingDaily Updates
Get progress reports every day
Code Reviews
Quality checks at every stage
Fast Delivery
On-time project completion
Ready to Get Started?
Let's discuss how RAG Pipelines & AI Knowledge Bases can help you achieve your goals. Get a free consultation today.