Datansh helped a large energy enterprise transform a vast repository of research papers, technical conclusions, domain expertise, and past project knowledge into an LLM-powered chat interface that let users ask questions and retrieve the right answers instantly.
Answer retrieval moved from manual document hunting to natural-language querying in seconds.
~65% lower effort in locating the right document and relevant passage across large technical archives.
~35% faster access to past research conclusions and domain expertise for repeat problem-solving and knowledge reuse.
The organization had a large body of research documents, past technical conclusions, expert knowledge, and historical project material. Teams had to identify the right documents first, open them, and manually go through long files to find one relevant answer.
Datansh built an enterprise document intelligence solution using an LLM, FastAPI-based microservices, ChromaDB embeddings, and a web interface so users could query the knowledge base in natural language and retrieve grounded answers directly from the underlying documents.