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Sunile Manjee

Senior Principal Solution Architect

关于作者

Senior Principal Solution Architect

As a leader in data-driven technology with a strong 'Open Source First' approach, Sunile specializes in simplifying complex tech terms for diverse groups, fostering collaboration and understanding. His experience with Fortune 100 companies has honed his ability to merge strategic insight with technical expertise, leading to significant successes. He is dedicated to designing and executing data strategies that align with business goals, ensuring scalable, secure, and flexible solutions that enhance return on investment. Together, he aims to drive transformation by harmonizing technology and business needs.

作者文章

MCP for intelligent search

2025年9月8日

MCP for intelligent search

Building an intelligent search system by integrating Elastic's intelligent query layer with MCP to enhance the generative efficacy of LLMs.

Unifying Elastic vector database and LLM functions for intelligent query

2025年3月12日

Unifying Elastic vector database and LLM functions for intelligent query

Leverage LLM functions for query parsing and Elasticsearch search templates to translate complex user requests into structured, schema-based searches for highly accurate results.

From PDF tables to insights: An alternative approach for parsing PDFs in RAG

2024年10月18日

From PDF tables to insights: An alternative approach for parsing PDFs in RAG

An alternative approach to parsing PDF tables for RAG, overcoming the limitations of highly normalized formats like CSV and JSON.

Intelligent RAG data chunking: Fetch surrounding chunks

2024年6月11日

Intelligent RAG data chunking: Fetch surrounding chunks

Learn about data chunking in RAG and explore fetch surrounding chunking, a pattern in RAG that uses chunking and Elasticsearch to refine LLM responses.

Avatar assisted & dialogue driven voice to RAG search

2024年3月8日

Avatar assisted & dialogue driven voice to RAG search

Create avatar-assisted voice search experience by integrating speech-to-text, semantic search, RAG and a synthesized avatar for responses.

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