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[PROPOSAL] Forming OpenSearch Search Technical Advisory Group (TAG) #72

@getsaurabh02

Description

@getsaurabh02

What/Why

What are you proposing?

We propose the formation of a "Search" Technical Advisory Group (TAG) under the OpenSearch Technical Steering Committee (TSC). The Search TAG will guide technical direction and decision-making across all aspects of search - including core text search, vector search, semantic search, hybrid retrieval, relevance tuning and performance.

As OpenSearch expands into analytics, AI, and observability, search remains its foundation. This TAG ensures a unified strategy for advancing OpenSearch’s search experience and aligning community efforts across repositories.

Previous Discussions: #48
TSC Meeting: https://github.com/opensearch-project/technical-steering/blob/main/meeting-minutes/2025/2025-06-11-minutes.md

Purpose:

  • Centralize expertise to accelerate clarity in search evolution and high level technical decisions.
  • Guide roadmap, extensibility and design discussions on query engine, vectors, performance, ranking, hybrid, and semantic search.
  • Promote alignment between core maintainers, plugin owners, and community contributors.
  • Ensure OpenSearch remains competitive in search, relevance, performance, and usability.

Key Responsibilities

  • Technical Guidance: Review and advise on proposals impacting search behavior, query engine, or ranking logic.
  • Roadmap Alignment: Help prioritize and unify search-related efforts across teams.
  • Best Practices: Publish reference patterns for scaling, benchmarking, and tuning search and relevance across releases.
  • Cross-Domain Collaboration: Coordinate with ML and Observability TAGs where search intersects.
  • Pain-Point Resolution: Address any long-standing issues in query engine, hybrid relevance, query performance, and ranking.
  • Advisory Reports: Submit recommendations to the TSC with clear technical rationale.

Pain Points Addressed

  • Unified ownership and consistent decision flow across search repos.
  • Consolidated roadmap updates for text, vector, and hybrid search space.
  • Minimize redundant design efforts between core and plugin features with end to end perspective.
  • Faster iteration on performance and relevance improvements with better accountability.

Desired Expertise for initial founding members:

  • Lucene / OpenSearch core internals
  • Text analysis and ranking
  • Vector / semantic and hybrid retrieval
  • Large-scale search performance and benchmarking

Next Steps

I am seeking community feedback on this proposal and the initial founding member list based on interest shown in this thread. After socializing this and identifying interested participants here, I will open a PR with a proposed charter that incorporates the feedback received.

cc: @Pallavi-AWS @vamshin @andrross @msfroh @epugh @rishabhmaurya @jainankitk @mch2 @yupeng9 @navneet1v

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