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Description
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