# Bodhi Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/bodhi
> Markdown URL: https://aitinkerers.org/technologies/bodhi.md
> Technology record last updated: 2026-02-26T11:14:37Z
> Generated: 2026-08-26T22:16:02Z

Bodhi is the AI-driven platform for smart building operations: it unifies control over energy, security, and guest experience for the hospitality industry.

Bodhi delivers predictive building intelligence, leveraging its integrated AI agent, BodhiGPT, to continuously monitor and optimize property performance. The platform provides a single-pane-of-glass solution for smart hardware and software, enabling proactive issue detection—catching HVAC alerts or excess energy use in 'Room 203' before guests notice. This automation layer streamlines staff operations, reduces labor costs, and maximizes efficiency across climate control, lighting, and security, ensuring a seamless, elevated guest experience while preventing major operational losses.

- Official technology site: https://gobodhi.com/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Accelerating Research Discovery: Integrating HippoRAG and Bodhi for Intelligent Paper Recommendation and Comprehension](https://ann-arbor.aitinkerers.org/talks/rsvp_cBRaUxqzNBs)

In the rapidly expanding universe of scientific literature, novice researchers often face the daunting task of identifying and understanding the most relevant papers in their field. This presentation introduces an integrated approach that leverages HippoRAG—a neurobiologically inspired retrieval framework—and Bodhi, a novel system designed to empower researchers by providing curated reading paths through complex research areas. Our project harnesses HippoRAG to enable multi-hop reasoning and capture synonymy relations between paper topics that traditional citation datasets often overlook. By ingesting research papers into a knowledge graph and applying algorithms inspired by the hippocampal indexing theory of human memory, HippoRAG facilitates deeper and more efficient knowledge integration. This allows users to receive highly relevant paper recommendations directly from open-ended research questions. For example, a query like "I want to create hardware-accelerated algorithms for machine learning inference" yields a tailored list of essential papers to read. Building upon this foundation, Bodhi guides users through the most pivotal papers in a specific area, organized in order of complexity. The process involves: 1. Embedding Research Papers: We embed metadata from research papers and perform clustering to identify different research areas. 2. Filtering Important Papers: Within each cluster, we filter for the top n most important papers, assigning an importance score that reflects a paper's necessity for understanding the cluster's research. 3. Creating Directed Graphs: We construct directed graphs for each sparsified cluster, ensuring edges flow from simpler papers to more complex ones. 4. Finding Minimum Spanning Arborescence (MSA): Using the Chu-Liu/Edmonds/Bock Algorithm, we derive the MSA for each directed graph. The resulting arborescence serves as a curated reading path for researchers. By integrating HippoRAG's advanced retrieval capabilities with Bodhi's structured learning paths, our project offers a powerful tool that accelerates learning and comprehension, enabling researchers to navigate vast scientific domains efficiently and effectively.

- Event context: AI Tinkerers: Ann Arbor - September 18 — 2024-09-18 — Ann Arbor
- Public talk page: https://ann-arbor.aitinkerers.org/talks/rsvp_cBRaUxqzNBs

## Related Technologies

- [Boost Graph Library](https://aitinkerers.org/technologies/boost-graph-library) ([Markdown](https://aitinkerers.org/technologies/boost-graph-library.md)) — 1 public demo
- [Chu-Liu/Edmonds algorithm](https://aitinkerers.org/technologies/chu-liu-edmonds-algorithm) ([Markdown](https://aitinkerers.org/technologies/chu-liu-edmonds-algorithm.md)) — 1 public demo
- [HippoRAG](https://aitinkerers.org/technologies/hipporag) ([Markdown](https://aitinkerers.org/technologies/hipporag.md)) — 1 public demo
- [Knowledge Graph](https://aitinkerers.org/technologies/knowledge-graph) ([Markdown](https://aitinkerers.org/technologies/knowledge-graph.md)) — 9 public demos
- [NetworkX](https://aitinkerers.org/technologies/networkx) ([Markdown](https://aitinkerers.org/technologies/networkx.md)) — 5 public demos