fix(evaluation): map local sequential ids to global conv ids in BM25/embedding index filenames (#127)#242
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Use self-deployed embedding and rerank APIs by default See merge request npc-work/aic/ai/evermemos-opensource!64
vLLM Rerank API adopts an instruction-tuned approach See merge request npc-work/aic/ai/evermemos-opensource!65
feat: metrics client and rerank/vectorize/retrieve metrics See merge request npc-work/aic/ai/evermemos-opensource!66
fix:update episode prompt See merge request npc-work/aic/ai/evermemos-opensource!68
feat: add rerank metrics See merge request npc-work/aic/ai/evermemos-opensource!69
* chore: rename project from evermemos to EverCore This commit renames the project directory and updates all internal references from "evermemos" to "EverCore". The changes include: - Renaming the main directory from `methods/evermemos` to `methods/EverCore` - Updating all import paths and module references - Maintaining the same code structure and functionality - Adding new configuration files (.vscode/settings.json, .pylintrc, pyrightconfig.json) - Updating Dockerfile and project metadata * docs: update references from evermemos to EverCore Update documentation files to reflect the renaming of the 'evermemos' directory to 'EverCore'. This includes fixing clone commands, directory paths, and documentation links across multiple files to ensure consistency and correct navigation for users. * chore: rename EverMemOS to EverCore across codebase This is a project-wide rebranding from EverMemOS to EverCore. The changes include: - Update project name in source files, documentation, and configuration - Rename API references, environment variables, and service names - Modify demo descriptions and benchmark configurations - Update URLs and citations to reflect new project identity All functionality remains identical; only naming has changed to align with the new project branding. * docs: update README with EverCore focus and restructured TOC - Add line break before Table of Contents for better visual separation - Rewrite project description to highlight EverCore as the central component - Reorder directory tree to prioritize benchmarks and methods over use-cases - Update use-cases list with more examples and clarify they are templates - Improve flow from Quick Start to use-cases to benchmarks * docs: update README with clearer methods description and benchmarks Add benchmark numbers directly in the method summaries for better visibility. Clarify introductory text to emphasize choice and composition of methods. * docs: fix markdown formatting in README table of contents Adjust whitespace and line breaks to ensure proper rendering of the collapsible table of contents section.
…d-AI#204) - Replace specific EverMemBench-Dynamic badge with general EverMind-AI HuggingFace badge - Remove redundant License badge - Change "Methods" section heading to "Architecture Methods" - Update sub-section headings from h4 (####) to h3 (###) for better hierarchy
…rMind-AI#208) * docs: restructure README and add AGENTS.md for better navigation - Reorder sections to emphasize architecture methods and use cases - Move use cases section before quick start for better flow - Rename "Methods" to "Architecture Methods" for clarity - Add AGENTS.md with quick commands and key entry points - Update section headers to improve document hierarchy - Maintain all existing content while improving organization * docs: add community and contribution files * docs: reorder README directory tree for logical grouping * docs: move community files to .github/ and update references * ci: change deploy workflow trigger from feature branch to main
* docs: restructure README and add subdirectory guides Move the directory tree from the main README to new dedicated README files for each top-level folder (use-cases, methods, benchmarks). Add detailed introductions and tables to guide users to the appropriate subprojects. This improves navigation and provides clear entry points for different use cases. * docs: expand showcase section with new projects and links Add six new project entries to the README showcase, each with a banner image, description, and code/plugin link. Also update an existing benchmark entry to include a dataset link. This enhances the repository's demonstration of real-world applications and available resources.
* docs(readme): update project links and formatting * docs(use-cases): enhance README with visual catalogue of demos Expand the use cases section from a simple table to a detailed visual catalogue with project banners, descriptions, and links. This improves user engagement and provides a better showcase of community integrations and demos. * docs: update READMEs and add validation for use-case links
* docs: update plugin repository link in README * docs(readme): update banner gif link
* docs(readme): add four new use case entries * docs(readme): update outdated banner links to correct github repos
…e-demo-content-payload Fix EverCore demo memory payload
…actions-hygiene Harden GitHub Actions workflows
…bot-config Add Dependabot configuration
…adme-quickstart docs: verify EverCore quickstart path
…I#236) Delete deprecated EvoAgentBench, EverMemBench benchmark suites and HyperMem memory system implementation, including all associated configurations, scripts, and supporting assets.
…nd-AI#127) The eval index-building stage (stage 2) wrote BM25/Embedding index files keyed by a local range(num_conv) counter (conv_0..conv_{N-1}), while stage 1 (memcell writer) and the search stage (reader) both key off the GLOBAL conversation id extracted from conversation_id via _extract_conv_index (e.g. "locomo_5" -> "5"). On a sliced run (--from-conv 5 --to-conv 10) the sliced conversations keep their global ids, so stage 2 looked for memcell_list_conv_0..4.json (absent -> skipped), built nothing, and the search stage then failed to find bm25_index_conv_5..9.pkl, yielding empty retrieval. Reported in EverMind-AI#127. Fix: - stage2_index_building: build_bm25_index / build_emb_index iterate the global conv ids actually in play. The adapter passes the exact slice via a new conv_ids arg; a discover_conv_ids() helper derives ids from the memcell_list_conv_*.json filenames as a fallback for the CLI entry point. - evermemos_adapter: _check_missing_indexes now probes by global conv ids (not range(num_conv)), so the skip-logic no longer always reports a slice's indexes as missing and rebuilds them under the wrong filenames. Adds an offline regression test (no docker / LLM / network) that reproduces the slice and asserts the built index filenames are exactly the ones the search stage reads. Prior art on the same mismatch by Jah-yee (EverMind-AI#136, broad 21-file fix; #115, tangential stage3 rename); this change keeps the fix surgical. Co-authored-by: Jah-yee <166608075+Jah-yee@users.noreply.github.com> Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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What
When the evaluation pipeline is run on a slice (
--from-conv 5 --to-conv 10), retrieval silently returned empty results. Root cause is a three-way filename-keying mismatch in the EverCore eval adapter:conversation_idvia_extract_conv_index("locomo_5" -> "5"), writingmemcell_list_conv_5..9.json.bm25_index_conv_5..9.pkl/embedding_index_conv_5..9.pkl.range(config.num_conv)counter (0..N-1), so for a 5-conversation slice it looked formemcell_list_conv_0..4.json(absent →"File not found, skipping"), built nothing, and wrote indexes under the wrong names.Net effect: a sliced run builds zero usable indexes and every search returns empty. This is exactly the symptom reported in #127 (
[BUG] evaluation: BM25/Embedding index filenames mismatch when running with --from-conv/--to-conv, causing empty retrieval).This PR aligns stage 2 (and the adapter's skip-logic probe) to the same global-id key:
stage2_index_building.build_bm25_index/build_emb_indexnow iterate the global conv ids actually in play. The adapter passes the exact slice via a newconv_idsargument; adiscover_conv_ids()helper derives ids from thememcell_list_conv_*.jsonfilenames as a fallback for the standalone CLI entry point (main()).evermemos_adapter._check_missing_indexesnow probes by global conv ids instead ofrange(num_conv), so the smart-skip logic no longer always reports a slice's indexes as missing and rebuilds them under the wrong filenames.Why
range(num_conv)is a silent correctness bug for any non-full run: the slice's conversations keep their global ids, but the builder assumed a contiguous0..N-1local space. The full dataset (--from-conv 0) happened to work only because local and global ids coincide there, which is why it went unnoticed.Tests
Adds
methods/EverCore/tests/test_evaluation_index_filename_conv_ids.py, which reproduces the slice fully offline — no docker, no LLM, no network (BM25 path only; the bug is a filename-mapping bug):test_bm25_index_filenames_match_global_conv_ids— writesmemcell_list_conv_5/6/7.json(a slice) with localnum_conv=3, builds indexes, and asserts the produced files arebm25_index_conv_5/6/7.pkl(what search reads) and that the buggyconv_0/1/2.pklare absent.test_built_filename_matches_search_lookup_key— asserts the filename the search stage computes via_extract_conv_indexexists on disk after the build.test_check_missing_indexes_uses_global_conv_ids— asserts the skip-logic probe keyed by global ids reports nothing missing, while the old local-range keying would wrongly report["0","1","2"].test_discover_conv_ids_*— the disk-discovery helper returns the global ids and sorts them numerically (2before10).test_real_adapter_check_missing_indexes_keys_by_global_id— exercises the realEverCoreAdaptermethod when importable.Run locally:
cd methods/EverCore uv sync PYTHONPATH=src pytest tests/test_evaluation_index_filename_conv_ids.py -vResult in this build: 6 passed, 1 skipped.
Before / after (mechanism)
Scope
Surgical: two source files (
evaluation/src/adapters/evermemos/stage2_index_building.py,evaluation/src/adapters/evermemos_adapter.py) plus one new regression test. No schema, no repository-layer, no docker-compose, no docs churn — deliberately narrower than the broad 21-file prior-art PR (#136).Closes #127.
Credit
Prior community work diagnosed the same
--from-conv/--to-convfilename mismatch. Co-author preserved on the commit:fix(evaluation): resolve BM25/Embedding index filename mismatch when using --from-conv/--to-conv(same root cause, broad 21-file scope) and fix: rename stage3_memory_retrivel.py to stage3_memory_retrieval #115fix: rename stage3_memory_retrivel.py to stage3_memory_retrieval(tangential stage-3 rename).Co-authored-by: Jah-yee 166608075+Jah-yee@users.noreply.github.com
Co-Authored-By: Claude Opus 4.8 (1M context) noreply@anthropic.com
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