History

jx12n bb21e69ae6 feat(m12): vector retrieval G1/G2 — recall harness, ANN in RETRIEVE, index tuning m12p1 (measurement truth): TidalDb::vector_search_items pure k-NN probe + POST /vector_search (standalone + region node, merge-by-distance) + tidal-stress --verify-recall (deterministic id-keyed corpus, in-RAM brute-force cosine oracle, open-loop ramp → recall@k + true p99 + read-knee + JSON/gate exit). Repaired fabricated p99 columns (mean-as-p99) in social-scale.md / scale.rs. Verified real: recall@10=0.9997 at 20k/1536-D vs brute-force. m12p2 (G1 unblock): ANN candidate-gen wired into RETRIEVE — for_you=preference vector, related=seed embedding (similar_to), graceful scan-fallback. Cached per-signal-type top-K (signals/ledger/hot_top_k.rs, decay-order-invariant) so trending serves O(K). related over HTTP (FeedQuery.similar_to). Harness gains --feed-profile / --seed-preferences. Verified: trending retrieve p99 3.5-7.7ms. m12p3 (G2): per-query ef_search now honored (RwLock epoch-guard with_expansion, shared guard for same-ef concurrency) + dimension-aware brute→HNSW crossover usearch_min_vectors(dim) + memory_usage() + examples/ann_grid_search.rs. Measured 1536-D/100k clustered: default M=16/ef_c=400/F16/ef_s=200 clears G1+G2 (recall 0.997, p99 1.4ms); F16 -0.25% vs F32; Int8 rejected (-28%). Recall corpus is now clustered (Gaussian mixture) in grid + harness.		2026-06-14 11:07:09 -06:00
..
guides	feat(m11): cluster security (m11p7) + perf instrumentation floor	2026-06-13 01:25:35 -06:00
ops	bench(1536): production-shape capacity — read path is cheap, quorum write is the ceiling	2026-06-13 21:40:58 -06:00
planning	feat(m11): sharding × replication + rebalancing (m11p6 L3-L5)	2026-06-13 18:23:43 -06:00
profiling	feat(m12): vector retrieval G1/G2 — recall harness, ANN in RETRIEVE, index tuning	2026-06-14 11:07:09 -06:00
research	chore: doc consolidation, seven-dimension review fixes, and commit hooks	2026-06-08 22:46:28 -06:00
reviews	feat(m11): observability+ops (m11p8) + perf-sweep wave 2 T2	2026-06-13 09:17:49 -06:00
runbooks	feat(m11): sharding × replication + rebalancing (m11p6 L3-L5)	2026-06-13 18:23:43 -06:00
specs	feat(m12): vector retrieval G1/G2 — recall harness, ANN in RETRIEVE, index tuning	2026-06-14 11:07:09 -06:00
content-strategy.md	feat: complete Milestone 5 — full-text search, RRF fusion, and creator search	2026-02-21 23:53:16 -07:00
personal-briefing-beachhead.md	feat: M0p1 runtime skeleton, M0p2 tooling & diagnostics, m1p4 signal ledger	2026-02-20 20:32:00 -07:00
README.md	feat(m11): membership, snapshot install, and reseed (m11p5)	2026-06-12 19:55:54 -06:00
roadmap-to-cluster.md	feat(m11): sharding × replication + rebalancing (m11p6 L3-L5)	2026-06-13 18:23:43 -06:00

README.md

tidalDB Engineering Docs

The engineering documentation home. Top-level product docs (VISION, USE_CASES, SEQUENCE, ARCHITECTURE, API, QUICKSTART, CODING_GUIDELINES, thoughts) live at the repository root; everything below is the deeper engineering record.

This and the repo root are the two canonical doc homes. There is intentionally no per-crate doc mirror (no tidal/docs/). Edit the canonical file, never a copy.

Component specs — `specs/`

The authoritative component specifications (status: Implemented, M0–M8).

#	Spec	#	Spec
00	Architecture overview	08	Query engine
01	Storage engine	09	Ranking & scoring
02	Entity model	10	Feedback loop
03	Signal system	11	Schema
04	Relationships	12	Cold start
05	Cohorts	13	Concurrency
06	Text retrieval	14	Scale architecture
07	Vector retrieval

Planning — `planning/`

ROADMAP.md — milestones M0–M11, phase status, known gaps
roadmap-to-cluster.md — adopted M11 plan: gap analysis + phase specs taking the multi-process cluster from experimental to enterprise-grade (m11p1–p5 ✅; p6–p9 planned), grounded in the 2026-06-10 live stress-test baselines
PRODUCT_ROADMAP.md · architecture-review.md · roadmap-cohort-analysis.md · site-cohort-analysis.md
Per-milestone phase/task archive: planning/milestone-0,1,2,3,5,7,8,9,10,11,p/

Code reviews — `reviews/`

M0–M10 code review — 2026-06-07 — seven-dimension re-review, 88 verified findings
M0–M10 code review — 2026-06-08 — seven-dimension review, 142 findings (latest pass)
M0–M10 seven-dimension review — additional pass (2 BLOCKERs: signal-checkpoint trim, 30-day window)

Guides — `guides/`

Task-oriented, build-an-app docs (complements the root QUICKSTART.md and API.md):

Build a feed app — end-to-end TikTok/Reels-style "For You" feed, embedded and over HTTP
Embedding integration — wiring a real embedding model (OpenAI / Cohere / local) into the write + query paths
Server deployment — running the tidal-server HTTP service: config, auth, the served OpenAPI spec, Docker
Ranking-profile reference: ai-lookup/services/ranking-profiles.md — all 25 built-in profiles