Merge remote-tracking branch 'origin/feat/engram-semantic-search' into hotfix/stage-elc-engram-integration
El SDK CI - dev / build-and-test (pull_request) Failing after 14m39s

# Conflicts:
#	lang/el-compiler/runtime/el_runtime.c
This commit is contained in:
2026-07-15 09:33:05 -05:00
4 changed files with 312 additions and 42 deletions
+1 -1
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@@ -81,7 +81,7 @@ jobs:
# Link to produce the engram binary
- name: Link engram binary
run: |
cc -std=c11 -O2 \
cc -std=c11 -O2 -DHAVE_CURL \
-I /usr/local/lib/el \
-o dist/engram \
dist/engram.c \
+1 -1
View File
@@ -88,7 +88,7 @@ jobs:
# Link to produce the engram binary
- name: Link engram binary
run: |
cc -std=c11 -O2 \
cc -std=c11 -O2 -DHAVE_CURL \
-I /usr/local/lib/el \
-o dist/engram \
dist/engram.c \
+1 -1
View File
@@ -62,7 +62,7 @@ jobs:
# Link to produce the engram binary
- name: Link engram binary
run: |
cc -std=c11 -O2 \
cc -std=c11 -O2 -DHAVE_CURL \
-I /usr/local/lib/el \
-o dist/engram \
dist/engram.c \
+309 -39
View File
@@ -6896,6 +6896,243 @@ static int engram_rank_cmp(const void* a, const void* b) {
return 0;
}
/* ══════════════════════════════════════════════════════════════════════════
* SEMANTIC SEARCH LAYER nomic-embed-text via Ollama /api/embeddings
*
* Augments the lexical (istr_contains) matcher with dense-vector retrieval.
* Node content and the query are embedded through a local Ollama server;
* nodes are ranked by cosine similarity and UNIONED with lexical hits. This
* lets a paraphrase query surface a node whose words never appear in it.
*
* DEGRADABLE BY DESIGN. The whole layer is gated on HAVE_CURL plus a one-shot
* runtime probe of the embedding endpoint. If curl is not compiled in, or
* Ollama is unreachable, or ENGRAM_SEMANTIC=0, every entry point returns
* "no semantic signal" and callers fall back to pure lexical behaviour
* byte-for-byte the pre-existing search.
*
* CACHE. Node embeddings are computed lazily on first use and cached in
* process memory keyed by node id, with an FNV-1a content hash for
* invalidation (edited content re-embeds). The query is embedded once per
* search call. This is what "avoid re-embedding the whole graph every query"
* buys us: a warm cache serves cosine from RAM. (A cold process still pays
* O(N) embed calls the first time each node is scanned persisting the cache
* to a snapshot sidecar is the documented next step, not done here.)
*
* nomic task prefixes ("search_query:" / "search_document:") are applied
* because nomic-embed-text is trained with them; they materially improve
* retrieval separation (empirically: paraphrase 0.72 vs distractors <0.48).
*
* ENV:
* ENGRAM_SEMANTIC "0" disables; unset/other = auto-probe
* ENGRAM_EMBED_URL default http://localhost:11434/api/embeddings
* ENGRAM_EMBED_MODEL default nomic-embed-text
* ENGRAM_SEMANTIC_MIN cosine threshold for a pure-semantic match (def 0.6)
* */
static double engram_semantic_min(void) {
static double v = -1.0;
if (v >= 0.0) return v;
const char* s = getenv("ENGRAM_SEMANTIC_MIN");
double d = 0.6;
if (s && *s) { char* e = NULL; double t = strtod(s, &e);
if (e != s && t >= 0.0 && t <= 1.0) d = t; }
v = d; return v;
}
#ifdef HAVE_CURL
typedef struct { char* id; uint64_t hash; float* vec; int dim; } EngramEmbEntry;
static EngramEmbEntry* g_emb_items = NULL;
static int64_t g_emb_count = 0, g_emb_cap = 0;
static int g_emb_state = 0; /* 0=unprobed, 1=available, -1=disabled */
static uint64_t engram_fnv1a(const char* s) {
uint64_t h = 1469598103934665603ULL;
if (s) for (const unsigned char* p = (const unsigned char*)s; *p; p++) {
h ^= *p; h *= 1099511628211ULL;
}
return h;
}
/* Parse "embedding":[f,f,...] from an Ollama response. malloc'd vec, or NULL. */
static float* engram_parse_embedding(const char* json, int* out_dim) {
if (!json) return NULL;
const char* p = strstr(json, "\"embedding\"");
if (!p) return NULL;
p = strchr(p, '[');
if (!p) return NULL;
p++;
int cap = 1024, n = 0;
float* v = malloc((size_t)cap * sizeof(float));
if (!v) return NULL;
while (*p && *p != ']') {
while (*p == ' ' || *p == '\t' || *p == '\n' || *p == '\r' || *p == ',') p++;
if (*p == ']' || !*p) break;
char* e = NULL;
double d = strtod(p, &e);
if (e == p) break;
if (n >= cap) { cap *= 2; float* nv = realloc(v, (size_t)cap * sizeof(float));
if (!nv) { free(v); return NULL; } v = nv; }
v[n++] = (float)d;
p = e;
}
if (n == 0) { free(v); return NULL; }
*out_dim = n;
return v;
}
/* JSON-escape src into a malloc'd buffer (no surrounding quotes). */
static char* engram_json_escape(const char* src) {
if (!src) src = "";
size_t n = strlen(src);
char* out = malloc(n * 2 + 1);
if (!out) return NULL;
size_t j = 0;
for (size_t i = 0; i < n; i++) {
unsigned char c = (unsigned char)src[i];
if (c == '"') { out[j++] = '\\'; out[j++] = '"'; }
else if (c == '\\') { out[j++] = '\\'; out[j++] = '\\'; }
else if (c == '\n') { out[j++] = '\\'; out[j++] = 'n'; }
else if (c == '\r') { out[j++] = '\\'; out[j++] = 'r'; }
else if (c == '\t') { out[j++] = '\\'; out[j++] = 't'; }
else if (c < 0x20) { /* drop other control bytes */ }
else { out[j++] = (char)c; }
}
out[j] = '\0';
return out;
}
/* Embed `prefix+text` via Ollama. Returns malloc'd vec (caller frees), or NULL. */
static float* engram_embed_raw(const char* prefix, const char* text, int* out_dim) {
if (!text) return NULL;
const char* url = getenv("ENGRAM_EMBED_URL");
if (!url || !*url) url = "http://localhost:11434/api/embeddings";
const char* model = getenv("ENGRAM_EMBED_MODEL");
if (!model || !*model) model = "nomic-embed-text";
/* Bound content length to keep latency/memory sane on huge nodes. */
char* trunc = NULL;
size_t maxlen = 8192;
if (strlen(text) > maxlen) {
trunc = malloc(maxlen + 1);
if (trunc) { memcpy(trunc, text, maxlen); trunc[maxlen] = '\0'; text = trunc; }
}
char* esc_prefix = engram_json_escape(prefix ? prefix : "");
char* esc = engram_json_escape(text);
free(trunc);
if (!esc || !esc_prefix) { free(esc); free(esc_prefix); return NULL; }
size_t blen = strlen(esc) + strlen(esc_prefix) + strlen(model) + 64;
char* body = malloc(blen);
if (!body) { free(esc); free(esc_prefix); return NULL; }
snprintf(body, blen, "{\"model\":\"%s\",\"prompt\":\"%s%s\"}", model, esc_prefix, esc);
free(esc); free(esc_prefix);
CURL* c = curl_easy_init();
if (!c) { free(body); return NULL; }
HttpBuf rb; httpbuf_init(&rb);
struct curl_slist* h = curl_slist_append(NULL, "Content-Type: application/json");
char errbuf[CURL_ERROR_SIZE]; errbuf[0] = '\0';
curl_easy_setopt(c, CURLOPT_URL, url);
curl_easy_setopt(c, CURLOPT_WRITEFUNCTION, http_write_cb);
curl_easy_setopt(c, CURLOPT_WRITEDATA, &rb);
curl_easy_setopt(c, CURLOPT_POST, 1L);
curl_easy_setopt(c, CURLOPT_POSTFIELDS, body);
curl_easy_setopt(c, CURLOPT_POSTFIELDSIZE, (long)strlen(body));
curl_easy_setopt(c, CURLOPT_HTTPHEADER, h);
curl_easy_setopt(c, CURLOPT_TIMEOUT_MS, el_http_timeout_ms());
curl_easy_setopt(c, CURLOPT_NOSIGNAL, 1L);
curl_easy_setopt(c, CURLOPT_ERRORBUFFER, errbuf);
CURLcode rc = curl_easy_perform(c);
curl_slist_free_all(h);
curl_easy_cleanup(c);
free(body);
if (rc != CURLE_OK) { free(rb.data); return NULL; }
float* v = engram_parse_embedding(rb.data, out_dim);
free(rb.data);
return v;
}
/* One-shot probe: is semantic search available? Caches the verdict. */
static int engram_semantic_enabled(void) {
if (g_emb_state != 0) return g_emb_state == 1;
const char* s = getenv("ENGRAM_SEMANTIC");
if (s && strcmp(s, "0") == 0) { g_emb_state = -1; return 0; }
int dim = 0;
float* v = engram_embed_raw("search_query: ", "probe", &dim);
if (v && dim > 0) { free(v); g_emb_state = 1; return 1; }
free(v);
g_emb_state = -1; return 0;
}
/* Embed the query. Returns malloc'd vec (caller frees), or NULL if semantic off. */
static float* engram_embed_query(const char* q, int* dim) {
if (!engram_semantic_enabled()) return NULL;
if (!q || !*q) return NULL;
return engram_embed_raw("search_query: ", q, dim);
}
/* Cached node embedding. Returns a pointer OWNED BY THE CACHE — do not free. */
static const float* engram_node_vec(EngramNode* n, int* out_dim) {
if (!n || !n->id) return NULL;
uint64_t h = engram_fnv1a(n->content);
for (int64_t i = 0; i < g_emb_count; i++) {
if (g_emb_items[i].id && strcmp(g_emb_items[i].id, n->id) == 0) {
if (g_emb_items[i].hash == h && g_emb_items[i].vec) {
*out_dim = g_emb_items[i].dim; return g_emb_items[i].vec;
}
/* content changed → re-embed in place */
int dim = 0;
float* v = engram_embed_raw("search_document: ", n->content ? n->content : "", &dim);
if (!v) return NULL;
free(g_emb_items[i].vec);
g_emb_items[i].vec = v; g_emb_items[i].dim = dim; g_emb_items[i].hash = h;
*out_dim = dim; return v;
}
}
int dim = 0;
float* v = engram_embed_raw("search_document: ", n->content ? n->content : "", &dim);
if (!v) return NULL;
if (g_emb_count >= g_emb_cap) {
int64_t nc = g_emb_cap ? g_emb_cap * 2 : 256;
EngramEmbEntry* ni = realloc(g_emb_items, (size_t)nc * sizeof(EngramEmbEntry));
if (!ni) { free(v); return NULL; }
g_emb_items = ni; g_emb_cap = nc;
}
g_emb_items[g_emb_count].id = strdup(n->id);
g_emb_items[g_emb_count].hash = h;
g_emb_items[g_emb_count].vec = v;
g_emb_items[g_emb_count].dim = dim;
g_emb_count++;
*out_dim = dim; return v;
}
static double engram_cosine(const float* a, const float* b, int dim) {
double dot = 0, na = 0, nb = 0;
for (int i = 0; i < dim; i++) { dot += (double)a[i] * b[i];
na += (double)a[i] * a[i];
nb += (double)b[i] * b[i]; }
if (na <= 0 || nb <= 0) return 0.0;
return dot / (sqrt(na) * sqrt(nb));
}
/* Cosine of node n against the query vector; 0 if unavailable / dim mismatch. */
static double engram_node_cosine(EngramNode* n, const float* qvec, int qdim) {
if (!qvec || qdim <= 0) return 0.0;
int ndim = 0;
const float* nv = engram_node_vec(n, &ndim);
if (!nv || ndim != qdim) return 0.0;
return engram_cosine(qvec, nv, qdim);
}
#else /* !HAVE_CURL — semantic layer compiled out; callers stay pure-lexical.
* Only the two boundary functions the always-compiled search/activate
* code calls are stubbed; the query embed always yields NULL so every
* cosine is 0 and every caller collapses to lexical-only. */
static float* engram_embed_query(const char* q, int* dim) { (void)q; (void)dim; return NULL; }
static double engram_node_cosine(EngramNode* n, const float* qvec, int qdim) {
(void)n; (void)qvec; (void)qdim; return 0.0;
}
#endif /* HAVE_CURL */
el_val_t engram_search(el_val_t query, el_val_t limit) {
EngramStore* g = engram_get();
const char* q = EL_CSTR(query);
@@ -6906,8 +7143,15 @@ el_val_t engram_search(el_val_t query, el_val_t limit) {
char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
int ntok = engram_tokenize_query(q, toks, ENGRAM_MAX_QTOKENS);
if (ntok == 0) return lst;
/* Semantic augmentation: embed the query once; a node is a hit if it covers
* >=1 query token (tokenized-lexical, #66) OR its cosine clears the
* threshold (#67). qvec is NULL (cosine 0) when semantic is unavailable
* pure tokenized-lexical, byte-identical to the lexical-only behaviour. */
int qdim = 0;
float* qvec = engram_embed_query(q, &qdim);
double sem_min = engram_semantic_min();
EngramRankEntry* hits = malloc((size_t)g->node_count * sizeof(EngramRankEntry));
if (!hits) return lst;
if (!hits) { free(qvec); return lst; }
int64_t nhits = 0;
for (int64_t i = 0; i < g->node_count; i++) {
EngramNode* n = &g->nodes[i];
@@ -6917,20 +7161,24 @@ el_val_t engram_search(el_val_t query, el_val_t limit) {
* + engram_compile_layered_json that's the legitimate path. */
if (engram_layer_is_transparent(n->layer_id)) continue;
int sc = engram_node_match_score(n, toks, ntok);
if (sc > 0) {
double sem = qvec ? engram_node_cosine(n, qvec, qdim) : 0.0;
if (sc > 0 || sem >= sem_min) {
hits[nhits].idx = i;
hits[nhits].score = sc;
hits[nhits].salience = n->salience;
nhits++;
}
}
/* Rank by distinct tokens matched (desc) then salience (desc), then cap. */
/* Rank by distinct tokens matched (desc) then salience (desc), then cap.
* Pure-semantic hits (token score 0) sort after every lexical hit a
* lexical semantic union with lexical precedence. */
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]));
}
free(hits);
free(qvec);
return lst;
}
@@ -7280,21 +7528,31 @@ el_val_t engram_activate(el_val_t query, el_val_t depth) {
if (!seeds) {
free(best_bg); free(best_hops); free(reached); return out;
}
/* Tokenize once: a node seeds if it matches ANY query token, and its seed
* activation is scaled by token coverage (fraction of distinct query
* tokens it contains) so a node matching all words seeds more strongly
* than one matching a single word. Single-word queries coverage 1.0,
* identical to the prior whole-query behavior. */
/* Tokenized + semantic seeding: a node seeds if it covers >=1 query token
* (tokenized-lexical, #66) OR its cosine clears the threshold (#67). A
* lexical seed's activation is scaled by token coverage (fraction of
* distinct query tokens covered) so a node matching all words seeds more
* strongly than one matching a single word; single-word queries coverage
* 1.0. A pure-semantic seed (no token match) is instead down-weighted by
* its cosine so paraphrase matches spread without overpowering exact seeds.
* q_vec is NULL (cosine 0) when semantic is unavailable the seed set is
* exactly the tokenized-lexical one. q_vec is freed right after this loop
* so the many downstream early-returns need no cleanup change. */
char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
int ntok = engram_tokenize_query(q, toks, ENGRAM_MAX_QTOKENS);
int q_dim = 0;
float* q_vec = engram_embed_query(q, &q_dim);
double q_sem_min = engram_semantic_min();
for (int64_t i = 0; i < g->node_count; i++) {
EngramNode* n = &g->nodes[i];
int sc = engram_node_match_score(n, toks, ntok);
if (sc > 0) {
double sem = q_vec ? engram_node_cosine(n, q_vec, q_dim) : 0.0;
if (sc > 0 || sem >= q_sem_min) {
double tdecay = engram_temporal_decay(n, now_ms);
double dampen = engram_activation_dampen(n);
double cover = ntok > 0 ? (double)sc / (double)ntok : 1.0;
double act = n->salience * tdecay * dampen * cover;
double act = n->salience * tdecay * dampen;
if (sc > 0) act *= (ntok > 0 ? (double)sc / (double)ntok : 1.0);
else act *= sem; /* pure-semantic seed: down-weight by cosine */
seeds[seed_count].idx = i;
seeds[seed_count].act = act;
seeds[seed_count].created_at = n->created_at;
@@ -7304,6 +7562,7 @@ el_val_t engram_activate(el_val_t query, el_val_t depth) {
reached[i] = 1;
}
}
free(q_vec);
/* Compute mean seed created_at for temporal proximity bonus. */
int64_t seed_epoch = 0;
if (seed_count > 0) {
@@ -7891,39 +8150,50 @@ el_val_t engram_search_json(el_val_t query, el_val_t limit) {
if (lim <= 0) lim = 100;
JsonBuf b; jb_init(&b);
jb_putc(&b, '[');
int first = 1;
if (q && *q) {
if (q && *q && g->node_count > 0) {
/* Collect candidates from the UNION of tokenized-lexical and semantic
* matches, score each, rank by score, emit the top `lim`. A node is a
* candidate if it covers >=1 query token (tokenized-lexical, #66) OR its
* query cosine clears the threshold (#67). Lexical score is the distinct
* token count (>=1), so any lexical hit outranks a pure-semantic hit
* (cosine < 1); pure-semantic hits are scored by cosine alone. When
* semantic is unavailable qvec is NULL, sem is 0, only tokenized-lexical
* hits are collected, and the stable insertion sort preserves order. */
char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
int ntok = engram_tokenize_query(q, toks, ENGRAM_MAX_QTOKENS);
if (ntok > 0) {
EngramRankEntry* hits =
malloc((size_t)g->node_count * sizeof(EngramRankEntry));
if (hits) {
int64_t nhits = 0;
for (int64_t i = 0; i < g->node_count; i++) {
EngramNode* n = &g->nodes[i];
/* Filter transparent layers — same as engram_search. */
if (engram_layer_is_transparent(n->layer_id)) continue;
int sc = engram_node_match_score(n, toks, ntok);
if (sc > 0) {
hits[nhits].idx = i;
hits[nhits].score = sc;
hits[nhits].salience = n->salience;
nhits++;
}
int qdim = 0;
float* qvec = engram_embed_query(q, &qdim);
double sem_min = engram_semantic_min();
typedef struct { int64_t idx; double score; } Cand;
Cand* cand = malloc((size_t)g->node_count * sizeof(Cand));
if (cand) {
int64_t nc = 0;
for (int64_t i = 0; i < g->node_count; i++) {
EngramNode* n = &g->nodes[i];
if (engram_layer_is_transparent(n->layer_id)) continue;
int sc = engram_node_match_score(n, toks, ntok);
double sem = qvec ? engram_node_cosine(n, qvec, qdim) : 0.0;
if (sc > 0 || sem >= sem_min) {
cand[nc].idx = i;
cand[nc].score = (double)sc + sem;
nc++;
}
/* Rank by distinct tokens matched (desc) then salience (desc). */
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]);
first = 0;
}
free(hits);
}
/* Insertion sort by score desc; stable for equal scores. */
for (int64_t i = 1; i < nc; i++) {
Cand k = cand[i]; int64_t j = i - 1;
while (j >= 0 && cand[j].score < k.score) { cand[j + 1] = cand[j]; j--; }
cand[j + 1] = k;
}
int first = 1;
for (int64_t i = 0; i < nc && i < lim; i++) {
if (!first) jb_putc(&b, ',');
engram_emit_node_json(&b, &g->nodes[cand[i].idx]);
first = 0;
}
free(cand);
}
free(qvec);
}
jb_putc(&b, ']');
return el_wrap_str(jb_finish(&b));