mooflife research | mooflife.com

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Project Name - Moment Creation Model

Project Type - Requirement gathering, development, deployment & maintenance

Duration - 4 months

Tech Stack

Python, Open AI, Lang Chain, MongoDB, FastAPI, Qdrant Vector DB, Azure GitHub Actions (CI/CD), DuckDuckGO, Wikipedia

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Job Description

Developed and deployed advanced Generative AI application, specializing in a "Moment creation model based on history, Advanced RAG" system. Leveraged expertise in Large Language Models (LLMs), LangChain, vector databases, and prompt engineering to deliver end-to-end solutions. ‘Moment’ is a special incident which occurs in our history.

Responsibilities and Accomplishments

Full Development Lifecycle Ownership:

• Managed the entire development lifecycle, from initial requirement gathering and system design to API development, deployment, and ongoing maintenance.
• Ensured seamless integration and functionality of the "Moment creation model based on history, Advanced RAG" system.

Advanced RAG Implementation:

• Designed and implemented an advanced Retrieval Augmented Generation (RAG) architecture, enabling the "Moment creation model" to generate contextually relevant and historically accurate outputs.
• Optimized RAG pipelines for improved retrieval accuracy and response quality.

LLM Integration and Optimization:

• Integrated LLMs (Llama, OpenAI) to meet specific project requirements, ensuring optimal performance for the "Moment creation model."
• Utilized prompt engineering techniques to guide LLM outputs and enhance the quality of generated "moments."