I will design your ai rag knowledge base and vector database backend


About this gig
A RAG system is only as good as the knowledge behind it. Most fail on the data layer wrong chunking, no metadata filtering, weak retrieval.
I'm Paul-Ferdinand Steuck: 7 years IT consulting, MSc Information Systems (1.1), PhD researcher on generative AI and LLMs.
I design and build the knowledge backbone: which data exists, how it fits together, what's actually suitable plus metadata filtering, lexical + semantic search, reranking and hosting. I work with vector databases like Qdrant and Pinecone, Python/Rust ETL pipelines and structured methods (requirements analysis, BPMN, UML). I also advise on the real trade-off: RAG vs. fine-tuning vs. other approaches.
All work under NDA, fully confidential & encrypted.
Please contact me before ordering so we can scope your data and goals.
Get to know Paul S
IT Consulting and PhD Candidate
- FromGermany
- Member sinceDec 2020
- Avg. response time1 hour
Languages
English, German, French

