Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.21307 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914013290430464 |
|---|---|
| author | Macharla, Sri Ram J, Sridhar Murthy Pasala, Anjaneyulu |
| author_facet | Macharla, Sri Ram J, Sridhar Murthy Pasala, Anjaneyulu |
| contents | MultiFluxAI is an innovative AI platform developed to address the challenges of managing and integrating vast, disparate data sources in product engineering across application domains. It addresses both current and new service related queries that enhance user engagement in the digital ecosystem. This platform leverages advanced AI techniques, such as Generative AI, vectorization, and agentic orchestration to provide dynamic and context-aware responses to complex user queries. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_21307 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Macharla, Sri Ram J, Sridhar Murthy Pasala, Anjaneyulu Artificial Intelligence MultiFluxAI is an innovative AI platform developed to address the challenges of managing and integrating vast, disparate data sources in product engineering across application domains. It addresses both current and new service related queries that enhance user engagement in the digital ecosystem. This platform leverages advanced AI techniques, such as Generative AI, vectorization, and agentic orchestration to provide dynamic and context-aware responses to complex user queries. |
| title | MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2508.21307 |