You will get Developed Contract Advisor Chat bot
Project details
I have developed a contract assistant chatbot that allows users to upload contract documents and then chat with the chatbot about the contents of those documents. The chatbot is built using a Retrieval Augmented Generation (RAG) system, and I have explored different strategies for implementing the RAG system, including a simple RAG approach, a multi-query approach, and an auto-generation approach. I have evaluated the performance of these different strategies using the RAGAS evaluation metric, and have implemented the best performing strategy in my final chatbot system.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included $800
These options are included with the project scope.
$800
- Delivery Time 14 days
- Number of Revisions 2
- Design Customization
- Content Upload
- Responsive Design
- Source Code
About Jabez
Data and Generative AI Engineer
Addis Ababa, Ethiopia - 9:21 pm local time
I currently work as a Data Engineer at Ozone, where I design and maintain scalable data pipelines and analytics workflows. Alongside this role, I have delivered multiple AI driven systems in real business contexts, including legal assistants, automated database agents, and intelligent prompt generation frameworks.
My core strength is working at the intersection of data engineering and applied AI. I focus on building systems that are reliable, explainable, and practical in production environments, not just experiments.
I help clients with data engineering and analytics by building ELT and ETL pipelines using dbt, Airflow, SQL, and big data tools. I design clean data models, debug complex data issues, and align data platforms with real business logic.
I also build Generative AI and agentic systems, including RAG pipelines using LangChain and vector databases, multi agent AI systems using Microsoft AutoGen, and AI assistants for document analysis, question answering, and workflow automation.
On the backend side, I develop Python based APIs using Flask and PostgreSQL, integrate AI systems into existing products, and automate workflows using tools like n8n.
Some of my recent work includes building legal AI assistant agents for document analysis and generation, designing multi agent systems for database management, developing AI driven advertising and engagement optimization systems, and applying causal inference and time series forecasting techniques to real world business problems.
Before fully transitioning into data and AI, I worked as an Electrical and ICT Engineer on data center and infrastructure projects. This background gives me a strong systems mindset and helps me design software that is robust, scalable, and maintainable.
If you are looking for someone who can think end to end, communicate clearly, and deliver solutions that work in the real world, I would be glad to work with you.
Steps for completing your project
After purchasing the project, send requirements so Jabez can start the project.
Delivery time starts when Jabez receives requirements from you.
Jabez works on your project following the steps below.
Revisions may occur after the delivery date.
Design the RAG pipeline based on the client document.