`meson install` of a Release tree staged 2.4 GiB: all 28 internal static
libraries (1.3 GiB), the whole include/ tree (459 files), 22 pkg-config
files for libraries that were never meant to be linked from outside, and
the ONNX resource library in the system libdir. Packages hid this by
deleting include/, *.a and pkgconfig/ after the fact.
- Internal static libraries are `install: false` and their pkg.generate()
calls are gone, as is the top-level yams.pc (it required yams-api, which
is not installable). Benchmarks are no longer installed either.
- Headers are not installed: no installable C++ library exists to link
them against. The one SDK surface, the mobile C ABI, installs
mobile_bindings.h and its .pc under the 'devel' install tag.
- Runtime installs carry explicit install_tag: 'runtime' where Meson
cannot infer one (data, systemd unit/preset, the yams alias symlink,
Windows DLL copies, the libzpdf install script), so
`meson install --tags runtime` stages the same set as a plain install.
- libyams_onnx_resource moves from <libdir> to the private <libdir>/yams
on Linux/macOS, without a soname version since nothing outside this
build links it. yams-cli/yams-daemon RUNPATH becomes $ORIGIN/../lib/yams
(@executable_path on macOS) and the ONNX/Glint plugins use $ORIGIN/..
so they resolve it and the bundled ONNX Runtime, which also moves to
<libdir>/yams (the ONNX plugin's runtime loader already searches its
parent directory). Windows keeps its existing DLL layout.
- Homebrew templates and the macOS install smoke follow the new layout.
- scripts/prune-runtime-install.sh only strips now.
Measured on grim (Linux x86_64 Release, prefix /usr/local):
staged paths 522 -> 11, staged bytes 2.4 GiB -> 1.0 GiB (unstripped)
check_install_surface path violations: 6 -> 0
`--tags devel` stages nothing; ldd resolves libyams_onnx_resource from
bin/../lib/yams and the staged `yams --version` runs.
Signed-off-by: trvon <me@trevon.dev>
* build: standardize the Debug build dir on build/debug
`docs/BUILD.md` and `AGENTS.md` document `./setup.sh Debug` producing
`build/debug`, but `setup.sh`/`setup.ps1` created `builddir` and `.clangd`
pointed there too, so the documented layout and the actual tree disagreed.
Align the Debug mapping with the documented layout:
- setup.sh / setup.ps1: Debug -> `build/debug`
- CMakeLists.txt: Debug `_meson_build_dir` -> `build/debug`
- .clangd: CompilationDatabase -> `build/debug`
- plugin test fallbacks, S3 smoke default, quality-gate candidate list, and
doc examples -> `build/debug`
Legacy `builddir` trees stay readable: the quality gate and local-ci scripts
still probe `builddir` as a fallback, and `plugin_trust` already treats
`/build/` paths as build artifacts.
* build: migrate remaining Debug consumers off builddir
Follow-up to the Debug build-dir standardization: tracked consumers still
hardcoded `builddir` and would break or silently skip against a fresh
`build/debug` tree. Migrate them, keeping tolerant fallbacks where a legacy
tree may still exist.
- CI: `.github/workflows/tests.yml` runs `./setup.sh Debug` and then compiled
`-C builddir`; switch BUILD_DIR/COMPILE_DB_DIR/compile paths to `build/debug`.
Same for windows-test-diagnose.yml.
- IDE: `.vscode/tasks.json` build/test/bench tasks target `build/debug`.
- Runtime: `object_storage_plugin_loader` also probes `build/debug/plugins`
(and the flat `build/debug`), retaining the `builddir` fallbacks.
- Tests/docs: ONNX tuning integration plugin dir, benchmarks, and plugin
READMEs/examples use `build/debug`.
`./build/*` is already excluded from the quality-gate find and `.dockerignore`,
so no exclusion lists change.
lzma_compressor.cpp targets the 7-Zip LZMA SDK (LzmaEnc.h/Alloc.h), but
the build only finds xz/liblzma, which does not ship those headers, so
every build (release logs: 'Has header "LzmaEnc.h" ... NO') compiled it
out. No build could read or write LZMA blocks, and its decoder never
bounded output by the expected size.
The policy still chose LZMA for cold/archival and large inactive data;
compression then failed ('Compressor not available') and batch stores
kept those blocks uncompressed. Select Zstandard, which already uses the
archive level for old data.
Remove the compressor, its test, the enable-lzma option and the build
flags that passed it. The LZMA algorithm id stays in the header format,
and compression.lzma_level remains accepted in config (now unused).
* refactor(tuning): prune dormant runtime knobs
Remove unused tuning controls and adaptive search budget state. Extract testable ONNX slot reconciliation and search telemetry hydration seams, and correct the Apple Silicon sysctl value width.
* refactor(vector): retire dormant backends
Remove unused FAISS, model-infrastructure, VectorIndexManager, and TurboQuant paths while keeping Simeon PQ and float-vector storage.
Migrate unused V2.2 quantized schemas transactionally to V2.3. Databases containing non-default quantized formats or packed-code blobs fail closed with recovery guidance and no mutation.
* refactor(plugins): remove legacy SDK tooling
Remove the Ghidra and SDK submodules, their bespoke tests, and stale scan exclusions. Retain generic PluginProcess coverage against the repository mock fixture.
* build(vector): remove stale FAISS overrides
* refactor(ipc): remove dormant FSM snapshots
* refactor(ingest): unify bounded KG enqueue
* fix(plugins): harden allocation contracts
Keep ABI outputs null or fully initialized when allocations fail, and represent empty object payloads without relying on malloc(0).
* fix(storage): define empty object reads
Return a null buffer with zero length for successful empty-object reads instead of treating malloc(0) as an allocation contract.
* refactor(storage): trim through string views
* test: prune dormant harness helpers
Remove unused readiness and fixture helpers, and keep benchmark client-count doubling in a wide integer domain.
* chore(cpp): initialize analyzer-facing locals
* build(simeon): advance analyzer cleanup
* refactor(config): drop dead daemon client keys
* refactor(ipc): inject daemon client transport
Socket and in-process execution now share DaemonClient request dispatch, so CLI fallbacks do not need alternate service paths.
* refactor(retrieval): route CLI through daemon
Search and grep now use the same daemon handlers over socket or in-process transport. Live grep remains an explicit freshness inspection.
* refactor(graph): move CLI scope into daemon
Graph CLI requests now share daemon handlers across socket and in-process transports. CWD filtering occurs before pagination so scoped totals and pages stay correct.
* build: isolate test-only runtime controls
* refactor(metadata): decouple lock telemetry
* fix(services): return on request timeout
* fix(retrieval): enforce workspace scope
* fix(graph): scope nodes before pagination
* fix(grep): drop binary result lines
* fix(daemon): bound checkpoint wait
* fix(repair): use KG health checks
* fix(storage): always verify compressed CRC
* perf(vector): skip unchanged PQ snapshots
* build(zyp): exclude bench from default build
* build: protect Meson files from formatter
* refactor: remove unreachable production APIs
* refactor(daemon): remove dormant runtime state
* fix(vector): harden daemon provider calls
Timed-out coroutines must own their client and requests. Provider discovery must also fail instead of returning synthetic embeddings in production.
* refactor(storage): remove unusable adapters
* fix(cli): unify in-process add requests
* fix(tsan): preserve async worker progress
* test(cli): isolate daemon-dependent suites
* fix(repair): expose queue backoff progress
* feat: search work and moving to experimental
* WIP
* feat(search): diagnostic logging pipeline — graph build, concepts, reranker gate
- New [concepts] per-50-query log showing extracted query concepts, type
distribution, and used_gliner flag.
- New [PIQ-entity] per-1000-dispatch + per-document completion log with
entity type counts (e.g., 'protein=3, gene=1, chemical=2').
- New [graph_rerank-gate] one-shot log showing why enableGraphRerank
is zeroed: shows shortQueryBudgeted, corpusWarming, bypassWarmingGate,
lexicalReady, and post-ingest inflight.
- New [graph_rerank] per-50-query log with window size, matched
candidates, applied count, concept count, and elapsed time.
- retrieval_quality_bench.cpp: add YAMS_SEARCH_BYPASS_CORPUS_WARMING_GATE=1
so benchmark queries are not gated by freshness checks.
- resolve merge conflicts from experimental branch.
* fix(search): enable entity extraction for text files via GLiNER fallback
- prepareMetadataEntry: shouldDispatchEntity now also checks hasTitleExtractor()
so plain-text files (.txt, .md) get entity extraction even when no binary
entity provider supports their extension.
- processEntityExtractionStage: when no ExternalEntityProvider matches,
fall back to processTitleExtractionStage which runs GLiNER on text.
- refreshStageAvailability: entity stage is now considered capable when
hasTitleExtractor() is true, so the entity poller gets concurrency budget
even if entityProviders_ is empty.
- kCombinedEntityTypes: add biomedical entity types (protein, gene, cell,
disease, chemical, drug, pathway, biological_process, biomarker, anatomy,
organism) so GLiNER extracts high-value biomedical entities instead of
only generic NL types (person, organization, concept).
* perf(bench): add YAMS_POST_ENTITY_CONCURRENT=4 for text entity fallback throughput
* feat(search): fast token-based entity extraction for text documents
- Replace slow GLiNER-based entity extraction (~260ms/doc) with fast
token-based concept mining (~1ms/doc) via generateFallbackQueryConcepts.
Uses sub-phrase mining + IDF-weighted token salience — the same function
already used for query-time concept fallback.
- Store entities with full KG scaffolding: KGNode with entity type/label,
KGAlias for query-time resolution, DeferredEdge from entity→document,
and DeferredDocEntity linking entity to document for getDocEntitiesForDocument.
- Add biomedical entity types to kCombinedEntityTypes in title extraction
(protein, gene, cell, disease, chemical, drug, pathway, etc.) so GLiNER
can output high-value biomedical entities when used.
- Add include for query_expansion.h to access generateFallbackQueryConcepts.
- bench: add YAMS_POST_ENTITY_CONCURRENT=4 for entity poller throughput.
Benchmark: 22K+ entities extracted across 5183 docs, ~41% high-value
biomedical. MRR 0.4281 (beats 0.4273 baseline by +0.2%).
* feat(diag): add firstDocEntities check to graph_rerank-gate log
- Queries kg_doc_entities for the first candidate document to verify
whether fast entity writes were committed before queries start.
- Confirmed: firstDocEntities=0 — entities stuck in WriteCoordinator
async queue when benchmark queries begin.
* fix(search): add periodic write-coordinator flush during entity extraction
Entity writes enqueued via writeCoordinator_ can accumulate since the
writer loop is capped at 8 batches/iteration. For 5K+ documents this
creates a backlog that outlasts the post-ingest drain wait — entities
are not committed to kg_doc_entities before benchmark queries start.
Add a periodic flush (every 128 batches, 500ms timeout) in the entity
extraction batch processor to drain the WC queue incrementally.
Diagnostic confirms firstDocEntities=0 persists — a synchronous
committed flush or batched WC enqueue is needed.
* fix(docker): add gfortran for openblas arm64 build
* fix(search): accumulate entity writes into shared WC batch, flush once
The WriteCoordinator writer loop is capped at 8 batches/iteration. With
5K+ per-doc entity writes, entities outlast the benchmark's post-ingest
drain and firstDocEntities=0 when the graph scorer runs.
- processEntityExtractionStage: add optional DeferredKGBatch* parameter.
Text-fallback appends entity nodes/aliases/edges/doc-entities to the
shared batch instead of creating per-doc WC batches.
- processEntityExtractionBatch: creates one DeferredKGBatch, passes it to
all stage calls in the batch, enqueues to WC once at end.
- Single-shot WC flush: after all stages go idle (totalInFlight==0),
calls writeCoordinator_->flush(15s) to drain remaining entity writes
before benchmark queries start.
- DeferredKGBatch forward-declared in PostIngestQueue header.
* ci: fix free-disk-space action ref, sha didnt exist
* fix(search): revert WC accumulation, fix text fallback to per-doc writes
The shared-batch WC accumulation approach worked conceptually but:
- WC flush with totalInFlight==0 fires too early (before last batch)
- generateFallbackQueryConcepts produces empty concepts for 99% of
document texts (designed for short queries, not abstracts)
- Only 1/5183 docs produced concepts → 1 doc worth of entities in KG
Revert to simple per-doc entity extraction. The enable=/disable=
graph reranker gate is still controlled by shortQueryBudgeted=1
which zeroes the graph reranker on the first query (intent=Code).
firstDocEntities=0 persists — entities need a different creation
strategy for document text (phrase mining too conservative).
* fix(docker): add curl retry for Zig download
* feat(search): per-profile ConceptExtractionBackend (Fallback vs GlinerWithFallback)
- search_engine_config.h: new ConceptExtractionBackend enum with Fallback
(sub-phrase mining + IDF tokens, <1ms) and GlinerWithFallback (GLiNER
first, fall back on empty/timeout). Default: GlinerWithFallback.
- search_tuner.h: SCIENTIFIC profile sets Fallback (GLiNER returns empty
for 99% of short biomedical claims). Other profiles keep default.
Wired through TunedParams.applyTo().
- search_engine.cpp: gate GLiNER concept extraction on the config backend.
When Fallback, conceptFuture is never created and concepts come directly
from generateFallbackQueryConcepts. Added [concept-backend] diagnostic.
- search_engine_builder.cpp: builder log now includes concept_backend
in the override-state startup message.
- search_tuner_catch2_test.cpp: verify SCIENTIFIC profile uses Fallback.
Note: builder correctly sets Fallback but query-time workingConfig still
shows GlinerWithFallback (int=1). This is a config-sync issue between
builder-time profile application and runtime config snapshot — the
tuner or a post-override config copy may reset the field. To be fixed.
* refactor(search): extract concept resolver, per-profile backend, clean dead code
- New concept_resolver.h/cpp: extract enrichWithFallbackConcepts from the
search engine monolith into a testable unit. Generates IDF-weighted
token concepts via generateFallbackQueryConcepts, deduplicates, and
appends to existing concepts.
- search_engine_config.h: new ConceptExtractionBackend enum (Fallback vs
GlinerWithFallback). SCIENTIFIC profile sets Fallback since GLiNER
extracts 0 concepts for 99% of short biomedical claims.
- search_tuner.h: wire conceptExtractionBackend through TunedParams,
applyTo, seedTunedParamsFromConfig (the one-line fix that resolved
the config-sync bug where profile Fallback was overridden at query
policy resolution time).
- search_engine.cpp: materializeConcepts lambda restructured to always
reach the fallback even when GLiNER future is invalid. Removed
~80 lines of diagnostic bloat ([concept-backend], [workingConfig-*],
per-50 [concepts]). GLiNER gate checks config backend.
- PostIngestQueue.cpp: removed dead fast-token entity extraction
(~150 lines of concept generation + KG scaffolding that produced
0 entities for 99% of documents). Reverted entity-stage gating
(entityCapable || hasTitleExtractor) and shouldDispatchEntity to
extension-only checks. Removed DeferredKGBatch forward decl.
- gliner_query_extractor: removed unused createGlinerExtractionFunc-
FromProvider fallback factory (~150 lines).
- ServiceManager.cpp: removed fallback call site for removed factory.
- builder log: removed concept_backend diagnostic line noise.
- search_tuner_catch2_test.cpp: verify SCIENTIFIC uses Fallback.
Net: ~400 lines removed, ~120 lines added (concept_resolver unit +
config wiring). GLiNER concept extraction savings: ~30-80ms/query
× 300 queries = 9-24s total for SCIENTIFIC profiles.
* fix: entity stage only for binaries, title stage for text
entity stage = binary providers (Ghidra/Zyp). title stage = GLiNER for all
text. No overlap — title already stores NL entities to KG.
* fix(docker): add wget for Zig, disable faiss
openblas arm64 build fails in Docker containers. YAMS_DISABLE_FAISS=1
env var skips faiss (and its openblas transitive dep). Zig download
now uses wget -c for resume on flaky ziglang.org connections.
* ci: add experimental branch to tests trigger
* ci: pin free-disk-space to v1.3.1
* feat: Simeon concept mining entity export for graph reranker
- simeon_lexical_backend.h: EntityCallback in Config. Called with
(docId, entityText, confidence) per concept match per doc.
- simeon_lexical_backend.cpp: after mine_concepts, iterate docs
via collect_doc_concepts + entity_callback.
- SearchEngineManager.cpp: enable concept_mining_enabled, wire
entity_callback batch-inserting DocEntity via KG store. Fix
kgStore capture-before-move race.
Note: simeon submodule has collect_doc_concepts in concept_mining.hpp
+ concept_mining.cpp (must commit to submodule separately).
* ci: disable faiss in warm and test jobs
* ci(bench): add faiss disable, ccache, and failure diagnostics to weekly benchmarks
* fix(metadata): retry constraint failures in executeQueryOnPool
FK race on Linux causes transient constraint failures when metadata
write races ahead of document commit. Previously treated as terminal.
Now retried with backoff like lock errors.
* fix(metadata): deduplicate batch entries before UPSERT
Duplicate (document_id, key) pairs within a single batch cause SQLite
ON CONFLICT DO UPDATE to fail with constraint violation. Dedup keeps
the last write per key.
* chore: bump simeon, add extraction readiness stats
Simeon: 8bf225e -> 6320ab6 (adapter + QPP router framework).
CorpusStats: add contentExtracted*, ftsIndexed*, titleCoverage,
languageCoverage, and KG topology richness fields.
* feat(search): integrate simeon EntropyRouter strategy lane, corpus-state tuning
- Wire EntropyRouter + Keyphrase/LeadField strategies into SimeonLexicalBackend
- Add scoreStrategyRouted(), hasStrategyRouter(), strategy_router_enabled config
- Add YAMS_SIMEON_STRATEGY_ROUTER_ENABLED env wiring
- Add applyCorpusStateAdjustments(): per-corpus-state recall push (vec max,
rescue slots, weak-query fanout, entity vec expansion, NER damping)
- Extend CorpusStats with extraction/FTS/title/language/KG edge+alias density
- Add hasRichGraphTopology(), nerOnlyNoEdges damping to graph adjustments
- Add 14 new engine-policy benchmark candidates (retrieval lanes, RRF sweep,
aggressive recall, strategy router)
- Weight miss_pre_fusion_rate in optimization objective (0.25x)
- Add Simeon lexical concept/doc count to IndexFreshnessSnapshot + status
- Bump simeon submodule (retrieval_strategy + corpus_adapter API)
* feat(search): add concept_count and concept_mining_enabled accessors
* feat(search): add ScientificAdapter + RM3 PRF blend
ScientificAdapter: training-free entity extraction for scientific
text via regex/suffix patterns (biomedical suffixes, ALL_CAPS symbols,
capitalized multi-word terms, measurements). Replaces TextAdapter
in strategy router build, providing entity lists for KeyphraseStrategy.
RM3: add score_with_prf blend path to scoreStrategyRouted at 0.30
weight when rm3_enabled=true. New benchmark candidate
scientific_strategy_rm3.
Strategy router + ScientificAdapter: mrr=0.4514 ndcg=0.4789 recall=0.5849
