Mutavchain
Mutavchain leverages advanced Retrieval-Augmented Generation (RAG) to deliver intelligent, context-aware answers tailored for Macedonian language users. Mutavchain integrates seamlessly with Google Drive, enabling users to retrieve answers from their own selected content stored as Google Docs. It is optimized to process unstructured documents but can also adapt to structured data by transforming it into unstructured formats for effective retrieval.
Designed with regional and cultural variation in mind, Mutavchain supports local linguistic nuances, including the Galichnik dialect, ensuring responses are both contextually accurate and culturally appropriate. This is achieved without any fine-tuning or retraining of the underlying language models, guaranteeing system efficiency, scalability, and adherence to best practices in modern RAG deployments.
RAG: Context. Dialect. Delivered.
Cost Efficiency
By creating isolated vector stores from carefully curated documents, we reduce the need for costly model training for each content source or dialect variation. Our system chains retrievers built on these vector stores to collaboratively generate precise answers without expanding prompt sizes excessively, ultimately decreasing token usage and associated costs.
Decision Making
Our team evaluated multiple LLMs on their contextual understanding abilities, opting for lightweight generator models that specialize in language processing rather than vast pretraining. In combination, powerful embedding models accurately represent the content in vector space to optimize retrieval effectiveness. This modular design enables quick, seamless component replacement.
Reusability
Our architecture decouples components such as dialect translation and prompt management, enabling reuse across different projects. The dialect translation module can be customized for other dialects or regional languages, and the prompt management system supports rapid deployment of engineered prompts for similar question-answering tasks in varied domains.
