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Author SHA1 Message Date
Tim Lingo 059ce02003 feat(engram): an associative leg on the recall path (claim 10 typed relations)
The recall route had no way to reach a node that shares no token and no
embedding neighbourhood with the query. The design reserves that case for the
graph, and nothing on the read path consulted an edge.

This adds a third ranked leg beside the lexical and semantic ones: expand the
top 3 lexical hits along STRUCTURAL relations only (claim 10 — identity,
contains, superseded_by, references, ...), two hops, both directions, pruned
at the same 0.02 firing threshold engram_activate uses; order what was reached
by query similarity. Merged by strict rotation, never by score blending.

Not PR #135. That wired recall wholesale to engram_activate and lost 57 points
of phrase accuracy. The failure there was RANK, not reach — a 2-hop associate
at strength 0.06 cannot outrank thousands of 1-hop neighbours of strong
lexical seeds. Here the lexical leg is untouched and the associative list is
empty for most queries, because a node whose only edges are `tagged` and
`related` expands to nothing.

MEASURED, hybrid-semantic baseline -> this, 38-query gold set, embedded corpus:
  associative  0.0% -> 66.7%   (first non-zero ever recorded on that category)
  hit@5       51.4% -> 62.9%
  exact_rare, phrase, paraphrase, nonsense, superseded: all unchanged
  latency p50 1.01x
  4 queries moved, all gains, 0 losses, McNemar p=0.125
  deterministic: two runs of the same binary differ on 0 of 38 rows

VERDICT: NOT-SHOWN. The harness needs 6 queries to clear p<0.05 and the whole
associative category is only 6 queries, so even 4/6 fixed cannot reach the
floor. The mechanism is confirmed to work; the gold set cannot certify it.
2026-08-07 15:17:27 -05:00
Neuron 635453b936 feat(engram): rank-interleave the semantic leg into recall; embed the corpus
Replaces the score-fusion first cut with rank fusion, which is what the data
called for. nomic's cosine scale is compressed (true matches 0.55-0.70,
unrelated pairs 0.35-0.50), so an additive blend of cosine onto token-coverage
is dominated by whichever leg has the wider spread. Alternation is invariant to
both scales:

  L1, S1, L2, S2, ...  deduped, capped at limit

Lexical ranking is left byte-identical; the semantic ranking is computed beside
it and admitted only above ENGRAM_EMBED_SEED_MIN (0.60) — Will's existing seed
floor, no new tuning constant. That floor is what keeps the nonsense controls
clean: a query with no real match must not be answered with its neighbours.

embed-corpus.py / merge-corpus.py produce the derived corpus the semantic leg
needs (76,986 vectors, nomic-embed-text, 0 failures, 11 min). Zero of 78,791
nodes carried an embedding before this; the field round-tripped through the
snapshot but nothing ever wrote it.

MEASURED, 38-query gold set, paired against the SAME derived corpus so the
comparison isolates the code change:

  hit@5      34.3% -> 51.4%     paraphrase   0.0% -> 38.5%
  MRR@10     0.294 -> 0.387     superseded   1/3  -> 2/3 outranks
  recall@10  33.3% -> 50.5%     latency p50  1146 -> 1220ms (1.06x)

  exact_rare 100% -> 100%   phrase 85.7% -> 85.7%   nonsense 2/3 -> 2/3

  6 queries fixed, 0 broken, McNemar exact p=0.0312, 0 drift across repeats.

Regression guards all held. Contrast PR #135, which swapped the read path to
spreading activation wholesale: phrase 85.7 -> 28.6, latency 2.81x. Correct
mechanism, wrong substrate. The substrate is now present.

Restores engram claim 24 (previously 0% honoured).

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-07 14:59:39 -05:00
Neuron 315b2eff00 feat(engram): fuse cosine similarity into the recall read path (claim 24)
engram_search_json — the function /api/neuron/recall actually reaches — ranked
only by distinct-token match count, so the embedding field on every node record
was inert. Add the semantic leg as a UNION beside the lexical one, not a
replacement for it:

  fused = (distinct_tokens_matched / query_tokens) + 0.90 * sem
  sem   = clamp01((cos(q,n) - 0.60) / (1 - 0.60))     ; 0 when not comparable

Holding the semantic weight strictly below 1.0 means a node matching every
query token can never be displaced by semantics alone — the regression guard
that PR #135 lacked when it swapped the read path to spreading activation and
took phrase recall from 85.7% to 28.6%.

No query embedding (embedder down, circuit breaker open) => sem == 0 for all
nodes => fused == sc/ntok, a monotone map of the old integer score, so the
ordering degrades to the historical behaviour exactly.

Restores engram claim 24: 'maintain a vector similarity index over the semantic
embedding vectors of all stored node records, and ... respond to embedding
search queries by returning the node records whose embedding vectors have the
highest cosine similarity to a query vector, independently of the spreading
activation traversal.'

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-07 14:44:42 -05:00
10 changed files with 5413 additions and 10 deletions
@@ -0,0 +1,143 @@
{
"baseline": "hybrid-semantic",
"candidate": "assoc-leg",
"n_shared_queries": 38,
"fixed_by_candidate": [
"q27",
"q28",
"q29",
"q31"
],
"broken_by_candidate": [],
"discordant": 4,
"net_queries": 4,
"mcnemar_exact_p": 0.125,
"min_detectable_swing_queries": 6,
"observed_run_to_run_drift_queries": 0,
"noise_floor_queries": 6,
"verdict": "no measurable difference",
"baseline_aggregate": {
"n_queries": 38,
"n_scored": 35,
"hit@5": 0.5142857142857142,
"recall@5": 0.4409013605442177,
"recall@10": 0.5047619047619047,
"precision@5": 0.15428571428571433,
"mrr@10": 0.38746031746031745,
"nonsense_clean": "2/3",
"superseded_outranks": "2/3",
"latency_ms_p50": 1219.7,
"latency_ms_p95": 1667.1,
"latency_ms_max": 1720.2,
"errors": 0,
"by_category": {
"associative": {
"n": 6,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"mrr@10": 0.0
},
"exact_rare": {
"n": 6,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"mrr@10": 1.0
},
"nonsense": {
"n": 3,
"clean": 2,
"avg_false_positives": 3.3333333333333335
},
"paraphrase": {
"n": 13,
"hit@5": 0.38461538461538464,
"recall@5": 0.38461538461538464,
"recall@10": 0.38461538461538464,
"mrr@10": 0.17307692307692307
},
"phrase": {
"n": 7,
"hit@5": 0.8571428571428571,
"recall@5": 0.4902210884353741,
"recall@10": 0.6666666666666666,
"mrr@10": 0.6634920634920636
},
"superseded": {
"n": 3,
"hit@5": 0.3333333333333333,
"recall@5": 0.3333333333333333,
"recall@10": 0.6666666666666666,
"mrr@10": 0.2222222222222222,
"outranks": 2
}
}
},
"candidate_aggregate": {
"n_queries": 38,
"n_scored": 35,
"hit@5": 0.6285714285714286,
"recall@5": 0.45309194773480493,
"recall@10": 0.5405733155733157,
"precision@5": 0.17714285714285719,
"mrr@10": 0.42650793650793645,
"nonsense_clean": "2/3",
"superseded_outranks": "2/3",
"latency_ms_p50": 1228.5,
"latency_ms_p95": 1681.8,
"latency_ms_max": 1718.6,
"errors": 0,
"by_category": {
"associative": {
"n": 6,
"hit@5": 0.6666666666666666,
"recall@5": 0.07342657342657342,
"recall@10": 0.24825174825174826,
"mrr@10": 0.22777777777777777
},
"exact_rare": {
"n": 6,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"mrr@10": 1.0
},
"nonsense": {
"n": 3,
"clean": 2,
"avg_false_positives": 3.3333333333333335
},
"paraphrase": {
"n": 13,
"hit@5": 0.38461538461538464,
"recall@5": 0.38461538461538464,
"recall@10": 0.38461538461538464,
"mrr@10": 0.17307692307692307
},
"phrase": {
"n": 7,
"hit@5": 0.8571428571428571,
"recall@5": 0.4882369614512472,
"recall@10": 0.6329365079365079,
"mrr@10": 0.6634920634920636
},
"superseded": {
"n": 3,
"hit@5": 0.3333333333333333,
"recall@5": 0.3333333333333333,
"recall@10": 0.6666666666666666,
"mrr@10": 0.2222222222222222,
"outranks": 2
}
}
},
"repeat_variance": {
"baseline": {
"runs": 2,
"hit@5_min": 0.5142857142857142,
"hit@5_max": 0.5142857142857142,
"spread_queries": 0
}
}
}
@@ -0,0 +1,145 @@
{
"baseline": "baseline-embcorpus",
"candidate": "hybrid-semantic",
"n_shared_queries": 38,
"fixed_by_candidate": [
"q15",
"q16",
"q20",
"q21",
"q26",
"q37"
],
"broken_by_candidate": [],
"discordant": 6,
"net_queries": 6,
"mcnemar_exact_p": 0.03125,
"min_detectable_swing_queries": 6,
"observed_run_to_run_drift_queries": 0,
"noise_floor_queries": 6,
"verdict": "candidate better",
"baseline_aggregate": {
"n_queries": 38,
"n_scored": 35,
"hit@5": 0.34285714285714286,
"recall@5": 0.26947278911564626,
"recall@10": 0.3333333333333333,
"precision@5": 0.12000000000000001,
"mrr@10": 0.2943197278911564,
"nonsense_clean": "2/3",
"superseded_outranks": "1/3",
"latency_ms_p50": 1145.9,
"latency_ms_p95": 1574.3,
"latency_ms_max": 1634.2,
"errors": 0,
"by_category": {
"associative": {
"n": 6,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"mrr@10": 0.0
},
"exact_rare": {
"n": 6,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"mrr@10": 1.0
},
"nonsense": {
"n": 3,
"clean": 2,
"avg_false_positives": 3.3333333333333335
},
"paraphrase": {
"n": 13,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"mrr@10": 0.0
},
"phrase": {
"n": 7,
"hit@5": 0.8571428571428571,
"recall@5": 0.4902210884353741,
"recall@10": 0.6666666666666666,
"mrr@10": 0.5965986394557822
},
"superseded": {
"n": 3,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.3333333333333333,
"mrr@10": 0.041666666666666664,
"outranks": 1
}
}
},
"candidate_aggregate": {
"n_queries": 38,
"n_scored": 35,
"hit@5": 0.5142857142857142,
"recall@5": 0.4409013605442177,
"recall@10": 0.5047619047619047,
"precision@5": 0.15428571428571433,
"mrr@10": 0.38746031746031745,
"nonsense_clean": "2/3",
"superseded_outranks": "2/3",
"latency_ms_p50": 1219.7,
"latency_ms_p95": 1667.1,
"latency_ms_max": 1720.2,
"errors": 0,
"by_category": {
"associative": {
"n": 6,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"mrr@10": 0.0
},
"exact_rare": {
"n": 6,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"mrr@10": 1.0
},
"nonsense": {
"n": 3,
"clean": 2,
"avg_false_positives": 3.3333333333333335
},
"paraphrase": {
"n": 13,
"hit@5": 0.38461538461538464,
"recall@5": 0.38461538461538464,
"recall@10": 0.38461538461538464,
"mrr@10": 0.17307692307692307
},
"phrase": {
"n": 7,
"hit@5": 0.8571428571428571,
"recall@5": 0.4902210884353741,
"recall@10": 0.6666666666666666,
"mrr@10": 0.6634920634920636
},
"superseded": {
"n": 3,
"hit@5": 0.3333333333333333,
"recall@5": 0.3333333333333333,
"recall@10": 0.6666666666666666,
"mrr@10": 0.2222222222222222,
"outranks": 2
}
}
},
"repeat_variance": {
"candidate": {
"runs": 2,
"hit@5_min": 0.5142857142857142,
"hit@5_max": 0.5142857142857142,
"spread_queries": 0
}
}
}
+43
View File
@@ -0,0 +1,43 @@
import json,sys,time,urllib.request,threading,queue
SRC="/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json"
OUT=sys.argv[1]
URL="http://127.0.0.1:11434/api/embeddings"; MODEL="nomic-embed-text"
MAXB=2000 # ENGRAM_EMBED_MAX_CHARS, applied to bytes as the C code does
d=json.load(open(SRC,encoding='utf-8',errors='surrogateescape'))
tasks=[]
for n in d["nodes"]:
c=n.get("content") or ""; t=n.get("node_type") or ""
if len(c)<8: continue # eg_embed_eligible
if t in ("InternalStateEvent","Tag"): continue
b=c.encode('utf-8',errors='surrogateescape')[:MAXB]
tasks.append((n.get("id") or "", b.decode('utf-8',errors='replace')))
del d
print("tasks",len(tasks),flush=True)
q=queue.Queue(); [q.put(t) for t in tasks]
lock=threading.Lock(); f=open(OUT,"w",encoding="utf-8",errors="surrogateescape"); done=[0]; t0=time.time(); fails=[0]
def work():
while True:
try: nid,txt=q.get_nowait()
except queue.Empty: return
v=None
for attempt in range(3):
try:
body=json.dumps({"model":MODEL,"prompt":txt}).encode()
r=urllib.request.Request(URL,data=body,headers={"Content-Type":"application/json"})
with urllib.request.urlopen(r,timeout=120) as fh: v=json.load(fh)["embedding"]
break
except Exception as e:
if attempt==2:
with lock: fails[0]+=1
time.sleep(0.5)
with lock:
if v: f.write(nid+"\t"+",".join("%.5g"%x for x in v)+"\n")
done[0]+=1
if done[0]%2000==0:
el=time.time()-t0
print("%d/%d %.1f/s eta %.1fmin fails=%d"%(done[0],len(tasks),done[0]/el,(len(tasks)-done[0])/(done[0]/el)/60,fails[0]),flush=True)
f.flush()
ths=[threading.Thread(target=work) for _ in range(8)]
[t.start() for t in ths]; [t.join() for t in ths]
f.close()
print("DONE",done[0],"fails",fails[0],"secs %.1f"%(time.time()-t0),flush=True)
+17
View File
@@ -0,0 +1,17 @@
import json,sys
SRC="/Users/timlingo/neuron-memory-backups/snapshot-pre-repair-20260806.json"
TSV,OUT=sys.argv[1],sys.argv[2]
emb={}
for line in open(TSV,encoding='utf-8',errors='surrogateescape'):
p=line.rstrip("\n").rsplit("\t",1)
if len(p)==2 and p[1].count(",")>100: emb[p[0]]=p[1]
print("vectors",len(emb),flush=True)
d=json.load(open(SRC,encoding='utf-8',errors='surrogateescape'))
hit=0
for n in d["nodes"]:
v=emb.get(n.get("id") or "")
if v: n["emb"]=v; hit+=1
print("attached",hit,"of",len(d["nodes"]),flush=True)
with open(OUT,"w",encoding='utf-8',errors='surrogateescape') as f:
json.dump(d,f,ensure_ascii=False)
print("wrote",OUT,flush=True)
@@ -0,0 +1,956 @@
{
"label": "assoc-leg-r2",
"soul_binary": "/private/tmp/claude-501/-Users-timlingo/82369039-a20e-4b5a-8a5e-28234a57b996/scratchpad/soul-assoc",
"soul_md5": "ab9d490ecdfb1f9e6f23cca841ad8fb5",
"corpus": "/Users/timlingo/neuron-eval-corpora/snapshot-pre-repair-20260806-embedded.json",
"corpus_nodes": 78768,
"corpus_edges": 14214,
"gold_set": "/Users/timlingo/Development/neuron-technologies/_wt-eval/tools/retrieval-eval/gold_set.json",
"limit": 10,
"port": 7894,
"wall_clock_s": 51.8,
"child_pid": 87150,
"child_confirmed_dead": true,
"aggregate": {
"n_queries": 38,
"n_scored": 35,
"hit@5": 0.6285714285714286,
"recall@5": 0.45309194773480493,
"recall@10": 0.5405733155733157,
"precision@5": 0.17714285714285719,
"mrr@10": 0.42650793650793645,
"nonsense_clean": "2/3",
"superseded_outranks": "2/3",
"latency_ms_p50": 1223.5,
"latency_ms_p95": 1676.1,
"latency_ms_max": 1740.6,
"errors": 0,
"by_category": {
"associative": {
"n": 6,
"hit@5": 0.6666666666666666,
"recall@5": 0.07342657342657342,
"recall@10": 0.24825174825174826,
"mrr@10": 0.22777777777777777
},
"exact_rare": {
"n": 6,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"mrr@10": 1.0
},
"nonsense": {
"n": 3,
"clean": 2,
"avg_false_positives": 3.3333333333333335
},
"paraphrase": {
"n": 13,
"hit@5": 0.38461538461538464,
"recall@5": 0.38461538461538464,
"recall@10": 0.38461538461538464,
"mrr@10": 0.17307692307692307
},
"phrase": {
"n": 7,
"hit@5": 0.8571428571428571,
"recall@5": 0.4882369614512472,
"recall@10": 0.6329365079365079,
"mrr@10": 0.6634920634920636
},
"superseded": {
"n": 3,
"hit@5": 0.3333333333333333,
"recall@5": 0.3333333333333333,
"recall@10": 0.6666666666666666,
"mrr@10": 0.2222222222222222,
"outranks": 2
}
}
},
"rows": [
{
"id": "q01",
"category": "exact_rare",
"query": "unjailbreakable",
"returned": [
"mem-7f61beb4-271c-4feb-9f6e-1c9c837a6226"
],
"n_returned": 1,
"latency_ms": 306.5,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 1.0
},
{
"id": "q02",
"category": "exact_rare",
"query": "engram-migrate",
"returned": [
"mem-6fdf6545-5e1a-43a9-8bdc-d2cd248146a5",
"mem-22fe5ec8-ae0d-4583-a05c-d1ef50353257",
"project-engram",
"project-engram-lang",
"mem-60778715-758c-4677-933d-fc39b8f94152",
"ctx-89a2",
"bl-13babd0c-582e-4e28-a9e4-a77e65925e5d",
"870ede67-3454-4e00-9988-46cb13a8a4e2",
"bl-3e433255-3710-49fc-a093-c25e71de2ccb",
"mem-235a7657-d49e-467e-9f69-f4c3d5f6bd48"
],
"n_returned": 10,
"latency_ms": 331.6,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 1.0
},
{
"id": "q03",
"category": "exact_rare",
"query": "cartabandonedevent",
"returned": [
"mem-1ba7c67d-85b9-4c2e-9fe2-39f8b0477091"
],
"n_returned": 1,
"latency_ms": 292.8,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 1.0
},
{
"id": "q04",
"category": "exact_rare",
"query": "pre-apprenticeship",
"returned": [
"mem-89c02aae-d3ca-43f9-9e5d-eb369896276c"
],
"n_returned": 1,
"latency_ms": 309.0,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 1.0
},
{
"id": "q05",
"category": "exact_rare",
"query": "inferencenodemanager",
"returned": [
"mem-73969486-143f-4431-b5e6-6845d1cc9848",
"bl-c1765767-3e27-449a-8c94-10411d1eb7c0",
"project-Add_inference_url_config_to_Neuron_MCP__Route_summarization_gen_tasks_to_Pantheon__keep_frontier_for_complex_reasoning_"
],
"n_returned": 3,
"latency_ms": 331.0,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 1.0
},
{
"id": "q06",
"category": "exact_rare",
"query": "clear-eyed",
"returned": [
"knw-c72597c5-c23d-4c08-8e9e-996dadf26a99"
],
"n_returned": 1,
"latency_ms": 295.7,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 1.0
},
{
"id": "q07",
"category": "phrase",
"query": "patterns not returns",
"returned": [
"mem-a4a9dfc3-e40b-49b3-b1e1-060e8be2f482",
"kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
"????7???Ջ3",
"kn-363f4976-6946-4b4d-b51b-8a2b0f5aef25",
"015644f5-8194-4af0-800d-dd4a0cd71396",
"kn-6061318f-046b-4935-907d-8eafdce14930",
"art-ee615cdb-e599-423d-9a4d-977859390ed3",
"ctx-63e3",
"?ǚ?7??????",
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+956
View File
@@ -0,0 +1,956 @@
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@@ -0,0 +1,945 @@
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View File
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View File
@@ -0,0 +1,956 @@
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},
{
"id": "q22",
"category": "paraphrase",
"query": "what shifts tells you where to cut a system apart",
"returned": [
"7?e?7???\f3?",
"knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
"kn-f8974b26-78a6-4aad-b893-19a73b20013d",
"kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
"?of?7???",
"dR????X?-?S",
"dz????Xƹ?i",
"ԍ????X????",
"??????X??2c",
"kn-d7c1e0fb-fa59-46d3-b4c9-a0d1d437a491"
],
"n_returned": 10,
"latency_ms": 1667.1,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q23",
"category": "paraphrase",
"query": "a mind that compounds instead of resetting each day",
"returned": [
"kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
"mem-b43f6ef4-2f5a-418d-b5ce-3f21520cf6b8",
"????7???Ջ3",
"a1000001-0000-0000-0000-000000000001",
"?ǚ?7??????",
"mem-024598a9-ed2e-4eeb-b1e1-5410856ff132",
"7?e?7???\f3?",
"mem-ade9440f-f161-4c18-9b35-1976257e6ebb",
"?of?7???",
"ea95f600-8dfd-4c7e-b077-a93dc3cd3623"
],
"n_returned": 10,
"latency_ms": 1528.6,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q24",
"category": "paraphrase",
"query": "loved for the unedited self and not the polished exterior",
"returned": [
"mem-bbb126a1-b297-42bb-86be-796871829c94",
"mem-45022957-2d78-48aa-a714-16d6eca52e0f",
"art-4a99aa1a-489b-4b43-958b-25217adb1aad",
"knw-35940684-abc4-42f0-b942-818f66b1f69a",
"art-79042b8b-6192-440f-90b0-60708f7e6325",
"art-0f0277a1-4a8e-4645-95dd-fa379976f31c",
"art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
"7?e?7???\f3?",
"? ?}&?#??X\b",
"'?T?a\"B~-?8"
],
"n_returned": 10,
"latency_ms": 1579.9,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q25",
"category": "paraphrase",
"query": "cheerfulness you arrive at instead of assuming",
"returned": [
"?ǚ?7??????",
"015644f5-8194-4af0-800d-dd4a0cd71396",
"art-79042b8b-6192-440f-90b0-60708f7e6325",
"7?e?7???\f3?",
"??S?7???",
"??f?7???",
"kn-e8423822-eacf-4029-aa7b-10d4d28d621e",
"??S?7???",
"??S?7???",
"? ?}&?#??X\b"
],
"n_returned": 10,
"latency_ms": 1288.7,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q26",
"category": "paraphrase",
"query": "a childhood offering no solid foundation to inherit",
"returned": [
"? ?}&?#??X\b",
"kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
"? ?}&?#??X\b",
"kn-6061318f-046b-4935-907d-8eafdce14930",
"? ?}&?#??X\b",
"kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
"art-ee615cdb-e599-423d-9a4d-977859390ed3",
"kn-0bb4f021-56de-4947-a35b-a37209e7ba21",
"7?e?7???\f3?",
"mem-7b74cac0-905f-4c35-9688-fbcce105a177"
],
"n_returned": 10,
"latency_ms": 1383.8,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 0.25
},
{
"id": "q27",
"category": "associative",
"query": "Grandma Lucas stroke February 2006 goodbye window",
"returned": [
"? ?}&?#??X\b",
"kn-a99cefe3-5e83-4050-98d8-6c69f57c7c71",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"art-79042b8b-6192-440f-90b0-60708f7e6325",
"kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
"art-4a99aa1a-489b-4b43-958b-25217adb1aad",
"?ǚ?7??????"
],
"n_returned": 10,
"latency_ms": 1499.4,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q28",
"category": "associative",
"query": "Marines hernia sepsis medical ward",
"returned": [
"art-79042b8b-6192-440f-90b0-60708f7e6325",
"kn-58874a74-b96f-4883-9e08-45707f4bd3ee",
"bl-33ecccc2-e37f-43db-91b3-c2a86f08aaac",
"art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
"art-e0bdf5d8-d163-491f-b649-453fee8b721d",
"7?e?7???\f3?",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"kn-9397c74b-35f3-4428-b4b0-5123353bbcd1",
"?of?7???"
],
"n_returned": 10,
"latency_ms": 1167.2,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q29",
"category": "associative",
"query": "Sarah Bishop Dyer trailer performance",
"returned": [
"kn-db9f141b-dbe3-4037-92e0-4bb9be0e5e6e",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"art-4a99aa1a-489b-4b43-958b-25217adb1aad",
"7?e?7???\f3?",
"?of?7???",
"art-79042b8b-6192-440f-90b0-60708f7e6325",
"art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
"kn-58874a74-b96f-4883-9e08-45707f4bd3ee"
],
"n_returned": 10,
"latency_ms": 1245.4,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q30",
"category": "associative",
"query": "Swarm Architecture containment lateral worker",
"returned": [
"art-ee615cdb-e599-423d-9a4d-977859390ed3",
"bl-9bde67c1-f0ba-4c3a-8fe5-de0deee0ce43",
"kn-b36902cc-0b05-44ba-9aa7-800e5dea9ca9",
"8cbb60c5-4999-4ec1-8682-2592aedc4249",
"kn-6f248a50-355b-47bb-aec8-e0e646a9b077",
"bl-0fac287f-f4c0-4f15-bc4d-ff7f8a7af3ae",
"bl-8c2d5f51-3ccd-4c2e-848a-eb60d90a3b98",
"7?e?7???\f3?",
"kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83",
"bl-2121fdb9-796a-427e-b9b5-651f4388ea16"
],
"n_returned": 10,
"latency_ms": 1219.7,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q31",
"category": "associative",
"query": "hope won inside the narrative preface",
"returned": [
"kn-e0423482-cfa5-4796-8689-8495c93b66bc",
"bl-2b00aeb0-c0fa-4a9f-8f30-4207e98b3d52",
"kn-5b606390-a52d-4ca2-8e0e-eba141d13440",
"knw-4aebd815-4eaf-49d7-954b-03595f3d48be",
"knw-9e74ee95-ba7d-49b1-9262-977eae9729d1",
"knw-d357b6bb-ad8a-4791-b516-426aea45fa5b",
"7?e?7???\f3?",
"knw-ed33e669-0790-44cb-a036-958d605c6fea",
"rQ??m?;?x?'"
],
"n_returned": 9,
"latency_ms": 1235.8,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q32",
"category": "associative",
"query": "man of the house six years old expectation",
"returned": [
"? ?}&?#??X\b",
"kn-eb1b9e18-3dc6-4b9b-9cc6-86e0ae6b6be8",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"? ?}&?#??X\b",
"kn-57b4c5e7-40c6-4c90-bf14-71841b0081d4",
"knw-35940684-abc4-42f0-b942-818f66b1f69a",
"art-4a99aa1a-489b-4b43-958b-25217adb1aad",
"art-2fabd873-d787-49cb-ad30-d4ed9fcff8ef"
],
"n_returned": 10,
"latency_ms": 1464.7,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0
},
{
"id": "q33",
"category": "nonsense",
"query": "zqxjvw plimforth grebulon",
"returned": [],
"n_returned": 0,
"latency_ms": 761.0,
"error": null,
"clean": true,
"false_positives": 0
},
{
"id": "q34",
"category": "nonsense",
"query": "flarnbistle quommetry",
"returned": [],
"n_returned": 0,
"latency_ms": 525.1,
"error": null,
"clean": true,
"false_positives": 0
},
{
"id": "q35",
"category": "nonsense",
"query": "xxqzzt vurblenacht throom",
"returned": [
"art-4a99aa1a-489b-4b43-958b-25217adb1aad",
"?V?",
"knw-920c891f-bb8c-48c4-9afc-018ef12dcdc4",
"?m?\\}Q??6??",
"art-79042b8b-6192-440f-90b0-60708f7e6325",
"?m?\\}Q??6??",
"art-ddfcd045-2c3b-4a1e-9966-fec5ce44e1dd",
"?m?\\}Q??6??",
"bl-4476e856-c567-4b49-8ff7-d7dca3e5715e",
"?m?\\}Q??6??"
],
"n_returned": 10,
"latency_ms": 761.7,
"error": null,
"clean": false,
"false_positives": 10
},
{
"id": "q36",
"category": "superseded",
"query": "is the self-improvement architecture called DARMA or DHARMA",
"returned": [
"7?e?7???\f3?",
"mem-80d7416b-20e9-48a0-b176-b215527e2f56",
"? ?}&?#??X\b",
"mem-f3b37427-b7d1-4f7e-b32c-0241a20ce8da",
"? ?}&?#??X\b",
"kn-b7e98d63-8b83-4911-b4d0-990602a7f575",
"?of?7???",
"knw-e047bb42-dc5b-4383-9e88-e508dc03abe3",
"? ?}&?#??X\b",
"bl-5b17bd3b-0c41-46cb-a710-6fa4429692ff"
],
"n_returned": 10,
"latency_ms": 1322.6,
"error": null,
"hit@5": 1.0,
"recall@5": 1.0,
"recall@10": 1.0,
"precision@5": 0.2,
"mrr@10": 0.5,
"outranks": true,
"rank_correct": 2,
"rank_stale": 10
},
{
"id": "q37",
"category": "superseded",
"query": "how many provisional patents does Will actually have",
"returned": [
"? ?}&?#??X\b",
"12082f7e-e320-438b-bd65-083d8259748f",
"? ?}&?#??X\b",
"527ecb25-2587-47eb-8269-73be2431abd4",
"? ?}&?#??X\b",
"3cf706a1-3825-45d8-b0a9-06cae6cdf5b8",
"? ?}&?#??X\b",
"4f698ae6-c40e-464e-9798-50350991a188",
"? ?}&?#??X\b",
"be3b6036-6eca-44a7-8fdf-37b23edfdfd1"
],
"n_returned": 10,
"latency_ms": 1694.6,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 1.0,
"precision@5": 0.0,
"mrr@10": 0.16666666666666666,
"outranks": true,
"rank_correct": 6,
"rank_stale": null
},
{
"id": "q38",
"category": "superseded",
"query": "is MCP still the live integration layer",
"returned": [
"kn-5584ef9c-7f9d-4d7c-a10a-4ee6bc5cf356",
"bl-7328cbe3-0200-43c2-88e7-0a164e15fca4",
"7?e?7???\f3?",
"mem-101e81b4-8097-4749-8d8d-7bb66de34517",
"? ?}&?#??X\b",
"4509ed62-9fb2-48b8-9038-ac569fca9604",
"%???2??jH??",
"art-8a0870d5-a716-4672-8094-f7463af1265b",
"???Ͼd??W\b?",
"bl-556438af-57b2-4bd8-a747-9f868aaee290"
],
"n_returned": 10,
"latency_ms": 1041.4,
"error": null,
"hit@5": 0.0,
"recall@5": 0.0,
"recall@10": 0.0,
"precision@5": 0.0,
"mrr@10": 0.0,
"outranks": false,
"rank_correct": null,
"rank_stale": 4
}
]
}
+296 -10
View File
@@ -6099,6 +6099,12 @@ static void engram_bll_parse_access(EngramNode* nn, const char* s) {
* propagation loop in engram_activate. 0.25 damps semantically unrelated
* branches ~4x without severing them. Unembedded targets are ungated. */
#define ENGRAM_QGATE_FLOOR 0.25
/* The read-path semantic leg (engram claim 24) reuses ENGRAM_EMBED_SEED_MIN
* above as its admission floor: a node joins the embedding ranking only if its
* query cosine clears the same bar that lets it join the seed set. No new
* tuning constant is introduced, and the floor is load-bearing rather than
* cosmetic it is what keeps a query with no real match (the gold set's
* nonsense controls) from being answered with its nearest neighbours. */
#define ENGRAM_EMBED_MAX_CHARS 2000
#define ENGRAM_EMBED_TIMEOUT_MS 4000L
#define ENGRAM_EMBED_BREAKER_LIMIT 3
@@ -7381,8 +7387,25 @@ static int engram_node_match_score(const EngramNode* n,
return score;
}
/* Semantic leg of the read path (engram claim 24). Returns the query/target
* cosine renormalized onto [0,1] over the band [ENGRAM_EMBED_SEED_MIN, 1.0],
* and exactly 0.0 when the pair is not comparable (no query embedding, target
* unembedded, dim mismatch) or falls at/below the seed floor. Claim 32's
* clamp-at-zero is subsumed: nothing below the floor can contribute.
* A 0.0 return makes the fused score collapse to the lexical score, which is
* why a dead embedder degrades to the historical behaviour exactly. */
static double eg_sem_term(const EngramNode* n, const float* qv, int32_t qdim) {
if (!qv || qdim <= 0 || !n->emb || n->emb_dim != qdim) return 0.0;
double c = eg_cosine(n->emb, qv, qdim);
if (c <= ENGRAM_EMBED_SEED_MIN) return 0.0;
double t = (c - ENGRAM_EMBED_SEED_MIN) / (1.0 - ENGRAM_EMBED_SEED_MIN);
return t > 1.0 ? 1.0 : t;
}
/* Rank entry: distinct-token match count (primary, desc) then salience
* (tiebreak, desc). */
* (tiebreak, desc). The lexical leg is deliberately left EXACTLY as it was
* the semantic leg is a second ranking merged beside it, never a reweighting
* of this one. */
typedef struct { int64_t idx; int score; double salience; } EngramRankEntry;
static int engram_rank_cmp(const void* a, const void* b) {
const EngramRankEntry* ea = (const EngramRankEntry*)a;
@@ -7393,6 +7416,223 @@ static int engram_rank_cmp(const void* a, const void* b) {
return 0;
}
/* Semantic rank entry: node index and its renormalized query similarity,
* ordered by similarity desc. This is the claim-24 "embedding search"
* ranking, computed independently of the lexical one. */
typedef struct { int64_t idx; double sem; } EngramSemEntry;
static int engram_sem_cmp(const void* a, const void* b) {
const EngramSemEntry* ea = (const EngramSemEntry*)a;
const EngramSemEntry* eb = (const EngramSemEntry*)b;
if (ea->sem < eb->sem) return 1; /* desc */
if (ea->sem > eb->sem) return -1;
return 0;
}
/* Merge the two rankings by strict alternation, lexical first:
* L1, S1, L2, S2, L3, ... deduplicated by node index, capped at lim.
*
* Rank fusion, not score fusion. nomic's cosine scale is compressed (real
* matches land ~0.55-0.70 while unrelated pairs sit ~0.35-0.50), so any
* additive blend of a cosine onto a token-coverage score is dominated by
* whichever leg happens to have the wider spread. Alternation is invariant to
* both scales: it asks each leg for its next best answer in turn.
*
* Position 1 is always the top lexical hit, so a query whose answer the
* lexical leg already ranks first cannot be displaced exact-token retrieval
* is structurally safe. The cost is bounded and explicit: a lexical hit at
* rank r lands at output position 2r-1. */
static int64_t engram_interleave(const EngramRankEntry* L, int64_t nL,
const EngramSemEntry* S, int64_t nS,
int64_t lim, int64_t* out) {
int64_t no = 0, li = 0, si = 0;
while (no < lim && (li < nL || si < nS)) {
if (li < nL) {
int dup = 0;
for (int64_t k = 0; k < no; k++) if (out[k] == L[li].idx) { dup = 1; break; }
if (!dup) out[no++] = L[li].idx;
li++;
}
if (no >= lim) break;
if (si < nS) {
int dup = 0;
for (int64_t k = 0; k < no; k++) if (out[k] == S[si].idx) { dup = 1; break; }
if (!dup) out[no++] = S[si].idx;
si++;
}
}
return no;
}
/* ── Associative leg (claim 10 typed relations + claim 1 activation) ────────
*
* WHY THIS EXISTS. engram_search_json has two legs, and neither can reach a
* node that shares no token with the query and no embedding neighbourhood
* with it. The route the design reserves for that case is the graph: a node
* is reachable because it is STRUCTURALLY associated with something the query
* did hit. Nothing on the recall path consults an edge today.
*
* WHY NOT engram_activate. Wiring recall wholesale to activation was measured
* (PR #135) and lost 57 points of phrase accuracy. The failure was one of
* RANK, not reach: activation seeds on every token-matching node, so a 2-hop
* associate at strength ~0.06 never outranks thousands of 1-hop neighbours of
* strong lexical seeds. So this is a separate, small, ranked list that is
* merged BESIDE the other two, exactly as the semantic leg is.
*
* TYPED RELATIONS (06-claims.md claim 10). Expansion follows only relations
* that assert a structural claim about meaning. The corpus is 4,915 `tagged`
* and 3,767 `triggers-safety` edges against 475 `identity` and 11 `contains`;
* walking the bulk relations turns any seed into a flood (measured: 1,387
* candidates from one seed) while the structural ones stay in the low tens.
* This is the first code on the read path to branch on a relation type at all.
*
* DIRECTION. Edges are walked in BOTH directions. Claim 23 requires the store
* to keep reverse edge records keyed by target id, and the adjacency index
* already materialises them (adj_to). It has to be both: every value node in
* this corpus has exactly ONE inbound edge (hub -> value) and no outbound
* structural edge at all, so a forward-only walk from a value node reaches
* nothing. Note this is an extension of the traversal as literally specified
* (05-detailed-description l.66 says "all outgoing edges"); the reverse index
* is designed and stored, but the description does not say the walk reads it.
*/
#define ENGRAM_ASSOC_SEEDS 3 /* top-N lexical hits form the context */
#define ENGRAM_ASSOC_DEPTH 2 /* seed -> hub -> sibling */
#define ENGRAM_ASSOC_FIRE 0.02 /* same firing threshold as engram_activate */
#define ENGRAM_ASSOC_MAX 64 /* cap on candidates carried forward */
static int eg_rel_is_structural(const char* r) {
if (!r || !*r) return 0;
static const char* ok[] = {
"identity", "contains", "superseded_by", "references", "embodies",
"demonstrated_by", "canonical-self", "depends_on", "currently_holds",
"activates", NULL
};
for (int i = 0; ok[i]; i++) if (strcmp(r, ok[i]) == 0) return 1;
return 0;
}
/* Nodes that are index artefacts rather than recallable content. Same
* exclusion eg_embed_eligible() already applies when deciding what deserves an
* embedding, reused here so the associative leg cannot surface or relay
* through a Tag. Relaying through them is what makes a graph walk explode:
* tag-tier_note alone has 187 members. */
static int eg_assoc_excluded(const EngramNode* n) {
if (!n->node_type) return 0;
return strcmp(n->node_type, "Tag") == 0
|| strcmp(n->node_type, "InternalStateEvent") == 0;
}
/* Breadth-first structural expansion from `seeds`, then ORDER BY query
* similarity. Activation decides REACHABILITY (the conjunctive prune of
* claim 1: parent strength x edge weight x target salience, cut at the firing
* threshold); cosine decides ORDER within what was reached. Ranking the
* neighbourhood by activation alone does not work and the reason is
* structural: every identity edge in this corpus carries weight 0.5 and every
* value node salience 0.7, so the activation product degenerates into a
* function of hop count and ranks the relay hub above all of its own
* children. Composing the two is mine, not Will's the description ranks the
* activation result set by strength (l.78). */
static int64_t engram_assoc_leg(EngramStore* g,
const EngramRankEntry* L, int64_t nL,
const float* qv, int32_t qdim,
EngramSemEntry* out, int64_t out_cap) {
if (!g || nL <= 0 || !qv || qdim <= 0 || out_cap <= 0) return 0;
if (g->adj_dirty || !g->adj_from || !g->adj_to) engram_adj_rebuild(g);
if (!g->adj_from || !g->adj_to) return 0;
double* act = calloc((size_t)g->node_count, sizeof(double));
char* seen = calloc((size_t)g->node_count, sizeof(char));
int64_t* q = malloc((size_t)ENGRAM_ASSOC_MAX * 4 * sizeof(int64_t));
int64_t* hop = malloc((size_t)ENGRAM_ASSOC_MAX * 4 * sizeof(int64_t));
if (!act || !seen || !q || !hop) { free(act); free(seen); free(q); free(hop); return 0; }
int64_t qcap = ENGRAM_ASSOC_MAX * 4, qh = 0, qt = 0;
int64_t nseed = nL < ENGRAM_ASSOC_SEEDS ? nL : ENGRAM_ASSOC_SEEDS;
for (int64_t s = 0; s < nseed; s++) {
int64_t idx = L[s].idx;
if (idx < 0 || idx >= g->node_count) continue;
act[idx] = 1.0; seen[idx] = 2; /* 2 = seed: never a result */
if (qt < qcap) { q[qt] = idx; hop[qt] = 0; qt++; }
}
const double SPREAD_DECAY = 0.7;
while (qh < qt) {
int64_t cur = q[qh]; int64_t h = hop[qh]; qh++;
if (h >= ENGRAM_ASSOC_DEPTH) continue;
double parent = act[cur];
int from_len = g->adj_from_len[cur];
int to_len = g->adj_to_len[cur];
for (int scan = 0; scan < from_len + to_len; scan++) {
int64_t ei = (scan < from_len) ? g->adj_from[cur][scan]
: g->adj_to[cur][scan - from_len];
EngramEdge* e = &g->edges[ei];
if (!eg_rel_is_structural(e->relation)) continue;
int64_t oi = (scan < from_len) ? engram_idmap_get(g, e->to_id)
: engram_idmap_get(g, e->from_id);
if (oi < 0 || oi >= g->node_count) continue;
EngramNode* on = &g->nodes[oi];
if (eg_assoc_excluded(on)) continue;
double na = parent * e->weight * SPREAD_DECAY * on->salience;
if (na < ENGRAM_ASSOC_FIRE) continue;
if (seen[oi] && na <= act[oi]) continue;
act[oi] = na;
if (!seen[oi]) seen[oi] = 1;
if (qt < qcap) { q[qt] = oi; hop[qt] = h + 1; qt++; }
}
}
int64_t n = 0;
for (int64_t i = 0; i < g->node_count && n < out_cap; i++) {
if (seen[i] != 1) continue; /* skip unreached and seeds */
if (engram_layer_is_transparent(g->nodes[i].layer_id)) continue;
EngramNode* nd = &g->nodes[i];
if (!nd->emb || nd->emb_dim != qdim) continue;
double c = eg_cosine(nd->emb, qv, qdim);
if (c <= 0.0) continue;
out[n].idx = i; out[n].sem = c; n++;
}
qsort(out, (size_t)n, sizeof(EngramSemEntry), engram_sem_cmp);
free(act); free(seen); free(q); free(hop);
return n;
}
/* Three-leg merge: lexical, semantic, associative — strict rotation,
* L1, S1, A1, L2, S2, A2, ... deduplicated, capped at lim.
*
* The cost is explicit and worse than the two-leg case: a lexical hit at rank
* r lands at output position 3r-2 when both other legs are non-empty. That is
* survivable here only because the structural-relation filter leaves the
* associative list EMPTY for most queries a Memory node whose only edges are
* `tagged` and `related` expands to nothing, so its ranking is untouched. */
static int64_t engram_interleave3(const EngramRankEntry* L, int64_t nL,
const EngramSemEntry* S, int64_t nS,
const EngramSemEntry* A, int64_t nA,
int64_t lim, int64_t* out) {
int64_t no = 0, li = 0, si = 0, ai = 0;
while (no < lim && (li < nL || si < nS || ai < nA)) {
if (li < nL) {
int dup = 0;
for (int64_t k = 0; k < no; k++) if (out[k] == L[li].idx) { dup = 1; break; }
if (!dup) out[no++] = L[li].idx;
li++;
}
if (no >= lim) break;
if (si < nS) {
int dup = 0;
for (int64_t k = 0; k < no; k++) if (out[k] == S[si].idx) { dup = 1; break; }
if (!dup) out[no++] = S[si].idx;
si++;
}
if (no >= lim) break;
if (ai < nA) {
int dup = 0;
for (int64_t k = 0; k < no; k++) if (out[k] == A[ai].idx) { dup = 1; break; }
if (!dup) out[no++] = A[ai].idx;
ai++;
}
}
return no;
}
el_val_t engram_search(el_val_t query, el_val_t limit) {
EngramStore* g = engram_get();
const char* q = EL_CSTR(query);
@@ -7405,6 +7645,12 @@ el_val_t engram_search(el_val_t query, el_val_t limit) {
if (ntok == 0) return lst;
EngramRankEntry* hits = malloc((size_t)g->node_count * sizeof(EngramRankEntry));
if (!hits) return lst;
/* Claim-24 semantic leg: one query embedding, fetched once per search.
* NULL (embedder down / circuit breaker open) => pure lexical, as before. */
int32_t qdim = 0;
float* qv = eg_embed_fetch(q, &qdim);
EngramSemEntry* sem = qv ? malloc((size_t)g->node_count * sizeof(EngramSemEntry)) : NULL;
int64_t nsem = 0;
int64_t nhits = 0;
for (int64_t i = 0; i < g->node_count; i++) {
EngramNode* n = &g->nodes[i];
@@ -7420,14 +7666,24 @@ el_val_t engram_search(el_val_t query, el_val_t limit) {
hits[nhits].salience = n->salience;
nhits++;
}
if (sem) {
double sv = eg_sem_term(n, qv, qdim);
if (sv > 0.0) { sem[nsem].idx = i; sem[nsem].sem = sv; nsem++; }
}
}
/* Rank by distinct tokens matched (desc) then salience (desc), then cap. */
/* Rank each leg independently, then alternate between them. */
qsort(hits, (size_t)nhits, sizeof(EngramRankEntry), engram_rank_cmp);
int64_t end = nhits < lim ? nhits : lim;
for (int64_t k = 0; k < end; k++) {
lst = el_list_append(lst, engram_node_to_map(&g->nodes[hits[k].idx]));
if (sem) qsort(sem, (size_t)nsem, sizeof(EngramSemEntry), engram_sem_cmp);
int64_t* order = malloc((size_t)lim * sizeof(int64_t));
if (order) {
int64_t no = engram_interleave(hits, nhits, sem, nsem, lim, order);
for (int64_t k = 0; k < no; k++)
lst = el_list_append(lst, engram_node_to_map(&g->nodes[order[k]]));
free(order);
}
free(hits);
free(sem);
free(qv);
return lst;
}
@@ -9259,6 +9515,14 @@ el_val_t engram_search_json(el_val_t query, el_val_t limit) {
if (ntok > 0) {
EngramRankEntry* hits = malloc((size_t)g->node_count * sizeof(EngramRankEntry));
if (hits) {
/* Claim-24 semantic leg. This is the function /api/neuron/recall
* actually reaches (routes.el -> neuron-api.el handle_api_recall),
* so the semantic half of the retrieval surface has to land HERE
* to be observable to the MCP wrapper and the app. */
int32_t qdim = 0;
float* qv = eg_embed_fetch(q, &qdim);
EngramSemEntry* sem = qv ? malloc((size_t)g->node_count * sizeof(EngramSemEntry)) : NULL;
int64_t nsem = 0;
int64_t nhits = 0;
for (int64_t i = 0; i < g->node_count; i++) {
EngramNode* n = &g->nodes[i];
@@ -9271,15 +9535,37 @@ el_val_t engram_search_json(el_val_t query, el_val_t limit) {
hits[nhits].salience = n->salience;
nhits++;
}
if (sem) {
double sv = eg_sem_term(n, qv, qdim);
if (sv > 0.0) { sem[nsem].idx = i; sem[nsem].sem = sv; nsem++; }
}
}
qsort(hits, (size_t)nhits, sizeof(EngramRankEntry), engram_rank_cmp);
int64_t end = nhits < lim ? nhits : lim;
for (int64_t k = 0; k < end; k++) {
if (!first) jb_putc(&b, ',');
engram_emit_node_json(&b, &g->nodes[hits[k].idx], 0);
first = 0;
if (sem) qsort(sem, (size_t)nsem, sizeof(EngramSemEntry), engram_sem_cmp);
/* Claim-10 associative leg: expand the top lexical hits along
* structural relations only, order the reached set by query
* similarity. Empty whenever the seeds have no structural
* edges, which is the common case and is what keeps the
* lexical ordering safe. */
EngramSemEntry* assoc = qv ? malloc((size_t)ENGRAM_ASSOC_MAX * sizeof(EngramSemEntry)) : NULL;
int64_t nassoc = assoc
? engram_assoc_leg(g, hits, nhits, qv, qdim, assoc, ENGRAM_ASSOC_MAX)
: 0;
int64_t* order = malloc((size_t)lim * sizeof(int64_t));
if (order) {
int64_t no = engram_interleave3(hits, nhits, sem, nsem,
assoc, nassoc, lim, order);
for (int64_t k = 0; k < no; k++) {
if (!first) jb_putc(&b, ',');
engram_emit_node_json(&b, &g->nodes[order[k]], 0);
first = 0;
}
free(order);
}
free(assoc);
free(hits);
free(sem);
free(qv);
}
}
}