You will get Database schema for an AI-based system
Project details
Every RAG project has the same challenge: No matter how well LLM reasons, or how sophisticated multi-agent architecture is, there is an information-supplying bottleneck.
My solution provides state-of-the-art best practices of RAG-specific Data Analysis and Engineering. It optimizes arbitrary data for retrieval and reasoning steps
My solution provides state-of-the-art best practices of RAG-specific Data Analysis and Engineering. It optimizes arbitrary data for retrieval and reasoning steps
Database Type
MySQL, MS SQL, PostgreSQL, MongoDBWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 3 days
- Number of Revisions 0
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AS
Alexander S.
May 22, 2025
NLP Researcher (Hebrew) - LLM Fine-Tuning and Reasoning
Delivered strong results on a focused project involving LLM-powered large-scale document analysis. He demonstrated great attention to detail and maintained a positive, solution-oriented approach throughout. We appreciated his contribution and would gladly consider him again for future opportunities.
MK
Marcin K.
Dec 10, 2024
Training and consulting on biomedical NLP
Roman provided top-notch consultancy on how to work with Pubmed data, current SOTA models in HuggingFace and went through code examples to solve our specific tasks of biomedical data analysis. He is attentive to details and very nice person overall!
EL
Edgar L.
May 13, 2024
Machine Learning Consulting
EL
Edgar L.
Nov 10, 2023
Machine Learning Consulting
Roman is a professional in the field of machine learning. I had a 3-hour consultation during which Roman answered all my questions. I was very satisfied and recommend him to everyone!
DH
David H.
Sep 20, 2023
NLP Engineer for an AI chat project
Roman implemented conversational AI for one of the leading universities which utilizes own knowledge base in Hebrew.
Roman went far beyond typical LangChain and OpenAI / ChatGPT to overcome quality limitations of non-English LLMs.
After designing the architecture, he implemented dynamic prompting, extended preprocessing and custom semantic search to retrieve highly specific responses.
I appreciate Roman's commitment and deep knowledge of non-conventional NLP techniques. He takes into account technical aspects as well as usability and business goals.
Roman went far beyond typical LangChain and OpenAI / ChatGPT to overcome quality limitations of non-English LLMs.
After designing the architecture, he implemented dynamic prompting, extended preprocessing and custom semantic search to retrieve highly specific responses.
I appreciate Roman's commitment and deep knowledge of non-conventional NLP techniques. He takes into account technical aspects as well as usability and business goals.
About Roman
AI engineer
100%
Job Success
Tel Aviv, Israel - 9:09 am local time
I code in Python mainly and use PyTorch and HuggingFace frameworks most frequently. Appreciate the neat ideas of Erlang and LISP.
Steps for completing your project
After purchasing the project, send requirements so Roman can start the project.
Delivery time starts when Roman receives requirements from you.
Roman works on your project following the steps below.
Revisions may occur after the delivery date.
Data Modeling