RikNetra

Development Team

The minds behind the digital exploration of the Rigveda

Dr Eren Gultepe

Dr Eren Gultepe

Associate Professor & Project Lead

NLP · Digital Humanities · Behavioural Research

About Eren

Conceived the project and guides its research in natural language processing, network analysis, and the design of the visualizations.

Asha Shah

Asha Shah

Researcher & Lead Developer

NLP · Information Retrieval · Sanskrit NLP · Visualization · Web Development

About Asha

Designed and built the current RikNetra system. Developed the Chunk-LSA hymn embeddings and compared clustering across two English translations and two Sanskrit representations, created the Horizontal Tree 2-Hop search method for English, and built Sanskrit search in Devanagari and IAST. Also developed the website and its interactive D3.js visualizations.

Venkatesh Bollineni

Venkatesh Bollineni

Researcher & Earlier Contributor

NLP · LLMs · Gen AI · Agentic AI · RAG

About Venkatesh

Contributed to the earlier research that first mapped communities of Rigvedic hymns, on which RikNetra builds. AI/ML Engineer specializing in generative AI, LLMs, and retrieval-augmented generation.

Our Technology Stack

Graph-Based Retrieval
BM25
LSA & Embeddings
Community Detection
Sentence Transformers
Sanskrit Transliteration
RAG Summaries
Cohere
D3.js
HTML5
CSS3
JavaScript
Python
Flask
Gunicorn
NumPy
Pandas
Scikit-learn
PyTorch

About RikNetra

RikNetra is an open-source project dedicated to making the Rigveda accessible through modern technology. Readers can search all 1,028 hymns by theme in English, Sanskrit, or IAST, read each hymn side by side in translation and in the original, and explore how hymns are connected. Our goal is to bridge ancient wisdom with contemporary digital tools for researchers, students, and enthusiasts worldwide.

View on GitHub