Satej Sahu
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- NODES2 editions2024–2025
on a stage with
never shared a talk
who talks about the same things
- Ramesh Kumar Manickam4 talks
- Seema Saharan8 talks
- Prashant Agrawal3 talks
- Lucian Precup21 talks
- Aswath Srinivasan7 talks
- Trey Grainger2 talks
| title | conference | date |
|---|---|---|
| From Unstructured Docs to Graph Intelligence: A Framework for Building Graph+Embedding Pipelines | NODES 2025 | 2025-11-06 |
A practical pipeline called D2GEP converts PDFs and transcripts into subject‑predicate‑object triples plus passage and node embeddings, using LangChain and… | ||
| Leveraging Digital Twins and OpenSearch for Personalized Customer Experiences | OpenSearchCon North America 2025 | 2025-09-08 |
Builds a customer digital twin by generating PySim simulated shoppers and streaming synthetic and real events to S3 where Lambda pseudonymizes data and indexes… | ||
| Integrating Graph Context With OpenSearch for Enhanced RAG Application Performance | OpenSearchCon India 2025 | 2025-06-03 |
Architecture that merges a graph layer with an OpenSearch vector index to ground RAG using travel-app synthetic data, either by querying a separate graph DB… | ||
| Unifying Diverse Logs in Big Data Systems for Seamless Analysis and Action With OpenSe... | OpenSearchCon India 2025 | 2025-06-03 |
Pipeline ingests Databricks Spark listener logs from S3 via AWS Lambda into an OpenSearch vector store, converts log lines to embeddings, and stores… | ||
| Enhancing RAG with Multi-Agent Integration | NODES 2024 | 2024-11-07 |
Claims that integrating a knowledge graph (Neo4j AuraDB + Knowledge Graph Builder + Neo4j GenAI) with a two-LLM pipeline and graph-query agent reduces… | ||
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