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RoutIR v0.0.2

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@eugene-yang eugene-yang released this 30 May 03:07
· 12 commits to main since this release

Changelog

All notable changes to this project will be documented here.

Version 0.0.2

  • Support for arbitrary sentence-transformers models using SentenceTransformerEngine
  • New LLMEngine for pointwise reranking and query decomposition via vLLM or any OpenAI-compatible endpoint, with optional runtime-supplied prompts
  • gRPC server (opt-in via --grpc) alongside the REST endpoints, sharing the same processor registry; new routir.client subpackage with a unified AsyncClient/Client that auto-discovers gRPC from a REST endpoint and falls back to REST when gRPC is unreachable
  • Pipeline-level result cache: enable via top-level pipeline_cache / pipeline_cache_ttl / pipeline_cache_redis_url in the config; keyed on the canonical pipeline AST + query + collection + the subset of runtime_kwargs referenced by the pipeline, so whitespace and alias-vs-expansion collapse to one entry
  • server_imports now also proxies remote content services (collections); a new local cache (relay_content_cache) avoids re-fetching document text on every rerank
  • Pre-defined pipeline_aliases in the config: name common pipeline DSL fragments and reuse them at request time
  • --api_key (or ROUTIR_API_KEY env var) enables Bearer-token authentication on all REST and gRPC endpoints except /ping; CORS preflight requests are exempt
  • collection field is optional on /pipeline; required only when the pipeline contains a reranking stage
  • ASCII banner with package version printed on startup

Version 0.0.1

  • Initial release
  • Support for PLAID-X (ColBERT) search
  • Support for LSR (SPLADE) search
  • Support for Qwen3 reranking
  • Support for mT5 reranking
  • Batch processing and caching
  • REST API for search and scoring
  • Pipeline system for multi-stage search
  • PyTerrier and Pyserini integration examples

Version 0.0.1b9

  • Download index from HFDS support
  • Bug fixes and improvements