fix(embedding): L2-normalise embeddings so vector similarity is valid; add search eval harness

This commit is contained in:
2026-09-30 01:36:14 +01:00
parent 0bbba6c078
commit 9e5bcc64a8
3 changed files with 456 additions and 3 deletions
+23 -3
View File
@@ -9,6 +9,7 @@ import (
"encoding/hex"
"fmt"
"io"
"math"
"os"
"path/filepath"
"strings"
@@ -26,6 +27,9 @@ const EmbeddingDim = 384
// Model version constants
const (
// BGEStorageVersion tags stored vectors; bump it to force a rebuild when vectors change.
BGEStorageVersion = "bge-v1.5-l2"
// BGEModelVersion is the version string for bge-small-en-v1.5
BGEModelVersion = "bge-v1.5"
// BGEModelName is the human-readable name for bge-small-en-v1.5
@@ -128,7 +132,7 @@ func (m *bgeModel) Name() string {
// Version returns the short version string for storage.
func (m *bgeModel) Version() string {
return BGEModelVersion
return BGEStorageVersion
}
// Dimensions returns the embedding vector size.
@@ -512,12 +516,28 @@ func meanPooling(embeddings []float32, attentionMask []int64, batchSize, seqLen,
}
}
results[b] = result
results[b] = l2Normalize(result)
}
return results
}
// l2Normalize scales v to unit length in place; sqlite-vec distances assume unit vectors.
func l2Normalize(v []float32) []float32 {
var sum float64
for _, x := range v {
sum += float64(x) * float64(x)
}
if sum == 0 {
return v
}
inv := float32(1 / math.Sqrt(sum))
for i := range v {
v[i] *= inv
}
return v
}
// clsPooling extracts the [CLS] token embedding (first token).
// Input shape: [batch, seq_len, hidden]
// Output shape: [batch, hidden]
@@ -529,7 +549,7 @@ func clsPooling(embeddings []float32, batchSize, seqLen, hiddenSize int) [][]flo
// CLS token is at position 0
embOffset := b * seqLen * hiddenSize
copy(result, embeddings[embOffset:embOffset+hiddenSize])
results[b] = result
results[b] = l2Normalize(result)
}
return results
+276
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@@ -0,0 +1,276 @@
{
"docs": [
{
"type": "bugfix",
"title": "Fixed race in session cache",
"narrative": "Concurrent map writes in the session cache caused panics; guarded with a RWMutex."
},
{
"type": "decision",
"title": "Chose SQLite WAL mode",
"narrative": "WAL lets readers proceed while a writer commits, so hooks can query during writes."
},
{
"type": "feature",
"title": "Added Prometheus metrics endpoint",
"narrative": "Exposes request latency histograms and error counters at /metrics for scraping."
},
{
"type": "bugfix",
"title": "Fixed memory leak in websocket hub",
"narrative": "Goroutines were never released when clients disconnected; added context cancellation."
},
{
"type": "refactor",
"title": "Extracted retry helper with backoff",
"narrative": "Exponential backoff with jitter now lives in one function used by all HTTP callers."
},
{
"type": "decision",
"title": "Use argon2id for password hashing",
"narrative": "bcrypt cost was too low for new hardware; argon2id with 64MB memory chosen."
},
{
"type": "feature",
"title": "Dark mode toggle in dashboard",
"narrative": "Theme preference persists in localStorage and follows prefers-color-scheme by default."
},
{
"type": "discovery",
"title": "Kubernetes readiness probe timing",
"narrative": "Pods were killed during warmup because the readiness probe fired before the model loaded."
},
{
"type": "bugfix",
"title": "Fixed off-by-one in pagination",
"narrative": "The last page skipped one row when total count was an exact multiple of page size."
},
{
"type": "decision",
"title": "Adopted table-driven tests",
"narrative": "Subtests with named cases make failures easier to locate and new cases cheap to add."
},
{
"type": "feature",
"title": "Rate limiting middleware",
"narrative": "Token bucket per client IP returns 429 with a Retry-After header when exceeded."
},
{
"type": "bugfix",
"title": "Fixed timezone bug in scheduler",
"narrative": "Cron jobs fired an hour late after daylight saving because times were stored in local zone."
},
{
"type": "discovery",
"title": "Slow query caused by missing index",
"narrative": "EXPLAIN showed a sequential scan on the events table; a composite index cut it from 900ms to 4ms."
},
{
"type": "refactor",
"title": "Split monolithic handler file",
"narrative": "The 3000 line handlers file was divided by domain: sessions, observations, search."
},
{
"type": "decision",
"title": "Embeddings computed locally with ONNX",
"narrative": "Avoids sending user text to third parties and works offline."
},
{
"type": "feature",
"title": "Export observations as JSON",
"narrative": "New CLI command dumps all stored observations to a portable JSON file for backup."
},
{
"type": "bugfix",
"title": "Fixed CORS preflight failure",
"narrative": "OPTIONS requests were rejected by auth middleware; moved CORS handling before authentication."
},
{
"type": "discovery",
"title": "Docker image size dominated by build cache",
"narrative": "Multi-stage build with a distroless runtime reduced the image from 1.2GB to 80MB."
},
{
"type": "decision",
"title": "Structured logging with zerolog",
"narrative": "JSON logs with fields are easier to filter in aggregation than free-form strings."
},
{
"type": "feature",
"title": "Full text search with FTS5",
"narrative": "Keyword queries use SQLite FTS5 with porter stemming alongside vector similarity."
},
{
"type": "bugfix",
"title": "Fixed panic on nil config",
"narrative": "Missing settings file returned a nil pointer; defaults are now loaded instead."
},
{
"type": "discovery",
"title": "GC pauses from large slices",
"narrative": "Preallocating slice capacity removed repeated growth and lowered p99 latency."
},
{
"type": "decision",
"title": "Graceful shutdown on SIGTERM",
"narrative": "Server drains in-flight requests for 30 seconds before exiting so deploys drop nothing."
},
{
"type": "refactor",
"title": "Replaced global state with dependency injection",
"narrative": "Services receive their stores through constructors, which makes tests independent."
},
{
"type": "feature",
"title": "OAuth login with GitHub",
"narrative": "Users authenticate via the GitHub authorization code flow and receive a session cookie."
},
{
"type": "bugfix",
"title": "Fixed flaky integration test",
"narrative": "The test relied on sleep; replaced with polling on a readiness condition."
},
{
"type": "discovery",
"title": "Git hooks slowed commits",
"narrative": "Pre-commit ran the full test suite; limited it to changed packages."
},
{
"type": "decision",
"title": "Pinned dependency versions",
"narrative": "Lockfile committed and CI uses frozen installs to keep builds reproducible."
},
{
"type": "feature",
"title": "Webhook retries with dead letter queue",
"narrative": "Failed deliveries retry five times and then land in a dead letter table for inspection."
},
{
"type": "discovery",
"title": "Unicode normalization broke search",
"narrative": "Accented characters did not match until queries and content were NFC normalized."
}
],
"queries": [
{
"doc": 0,
"query": "why did concurrent writes to the cache crash the program"
},
{
"doc": 1,
"query": "how can readers keep working while the database is being written"
},
{
"doc": 2,
"query": "where do I scrape request latency numbers from"
},
{
"doc": 3,
"query": "goroutines not freed after clients drop connection"
},
{
"doc": 4,
"query": "shared function for repeating failed requests with growing delays"
},
{
"doc": 5,
"query": "which algorithm protects stored passwords"
},
{
"doc": 6,
"query": "can the UI switch to a dark theme"
},
{
"doc": 7,
"query": "containers restarted while the model was still loading"
},
{
"doc": 8,
"query": "last page of results missing an item"
},
{
"doc": 9,
"query": "why do our tests use named cases"
},
{
"doc": 10,
"query": "how are abusive clients throttled"
},
{
"doc": 11,
"query": "scheduled jobs running late after clocks changed"
},
{
"doc": 12,
"query": "query got fast after adding an index"
},
{
"doc": 13,
"query": "large source file was broken up by domain"
},
{
"doc": 14,
"query": "do we send text to an external embedding API"
},
{
"doc": 15,
"query": "how to back up everything I stored"
},
{
"doc": 16,
"query": "browser blocked cross-origin request before login check"
},
{
"doc": 17,
"query": "how did we make the container image smaller"
},
{
"doc": 18,
"query": "why are logs emitted as JSON"
},
{
"doc": 19,
"query": "keyword matching with stemming"
},
{
"doc": 20,
"query": "crash when settings file is absent"
},
{
"doc": 21,
"query": "reduce latency spikes from memory allocation"
},
{
"doc": 22,
"query": "what happens to requests during deployment shutdown"
},
{
"doc": 23,
"query": "stop using package level variables for services"
},
{
"doc": 24,
"query": "sign in with a third party identity provider"
},
{
"doc": 25,
"query": "test that fails randomly because of timing"
},
{
"doc": 26,
"query": "commit takes too long because of checks"
},
{
"doc": 27,
"query": "make builds reproducible across machines"
},
{
"doc": 28,
"query": "what happens when a callback delivery fails repeatedly"
},
{
"doc": 29,
"query": "accented letters not found when searching"
}
]
}
+157
View File
@@ -0,0 +1,157 @@
// Command eval-search measures search quality against a labelled corpus.
//
// eval-search seed <dbdir> writes the corpus into <dbdir>/claude-mnemonic.db
// eval-search run <port> queries a running worker and prints MRR@10 and recall@5
package main
import (
"context"
_ "embed"
"encoding/json"
"fmt"
"io"
"net/http"
"net/url"
"os"
"path/filepath"
"strconv"
"time"
"github.com/lukaszraczylo/claude-mnemonic/internal/db/gorm"
"github.com/lukaszraczylo/claude-mnemonic/pkg/models"
)
const (
project = "evalproj"
sessionID = "eval-session"
dbFile = "claude-mnemonic.db"
recallAt = 5
mrrAt = 10
)
//go:embed corpus.json
var corpusJSON []byte
type corpus struct {
Docs []struct {
Type string `json:"type"`
Title string `json:"title"`
Narrative string `json:"narrative"`
} `json:"docs"`
Queries []struct {
Query string `json:"query"`
Doc int `json:"doc"`
} `json:"queries"`
}
func main() {
if len(os.Args) != 3 {
fmt.Fprintln(os.Stderr, "usage: eval-search seed <dbdir> | run <port>")
os.Exit(2)
}
var c corpus
if err := json.Unmarshal(corpusJSON, &c); err != nil {
fatal(err)
}
var err error
switch os.Args[1] {
case "seed":
err = seed(c, os.Args[2])
case "run":
err = run(c, os.Args[2])
default:
err = fmt.Errorf("unknown mode %q", os.Args[1])
}
if err != nil {
fatal(err)
}
}
func fatal(err error) {
fmt.Fprintln(os.Stderr, "error:", err)
os.Exit(1)
}
// seed stores docs in order, so doc i gets observation id i+1.
func seed(c corpus, dir string) error {
if err := os.MkdirAll(dir, 0o750); err != nil {
return err
}
store, err := gorm.NewStore(gorm.Config{Path: filepath.Join(dir, dbFile), MaxConns: 1})
if err != nil {
return err
}
defer func() { _ = store.Close() }()
obsStore := gorm.NewObservationStore(store, nil, nil, nil)
for i, d := range c.Docs {
_, _, err := obsStore.StoreObservation(context.Background(), sessionID, project, &models.ParsedObservation{
Type: models.ObservationType(d.Type),
Title: d.Title,
Narrative: d.Narrative,
Concepts: []string{"eval"},
}, i+1, 0)
if err != nil {
return fmt.Errorf("store doc %d: %w", i, err)
}
}
return nil
}
type obsRef struct {
ID int64 `json:"id"`
}
func printRanks(query string, want int64, got []obsRef) {
pos := -1
for i, o := range got {
if o.ID == want {
pos = i + 1
break
}
}
fmt.Printf("rank=%d results=%d %q\n", pos, len(got), query)
}
func run(c corpus, port string) error {
client := &http.Client{Timeout: 20 * time.Second}
var mrr, recall, results float64
for _, q := range c.Queries {
u := fmt.Sprintf("http://127.0.0.1:%s/api/context/search?project=%s&query=%s", port, project, url.QueryEscape(q.Query))
resp, err := client.Get(u)
if err != nil {
return err
}
body, err := io.ReadAll(resp.Body)
_ = resp.Body.Close()
if err != nil {
return err
}
var out struct {
Observations []obsRef `json:"observations"`
}
if err := json.Unmarshal(body, &out); err != nil {
return fmt.Errorf("decode %q: %w", q.Query, err)
}
results += float64(len(out.Observations))
want := int64(q.Doc + 1)
if os.Getenv("EVAL_VERBOSE") != "" {
printRanks(q.Query, want, out.Observations)
}
for rank, o := range out.Observations {
if o.ID != want {
continue
}
if rank < mrrAt {
mrr += 1 / float64(rank+1)
}
if rank < recallAt {
recall++
}
break
}
}
n := float64(len(c.Queries))
fmt.Printf("queries=%d MRR@%d=%s recall@%d=%s avg_results=%s\n", len(c.Queries), mrrAt, strconv.FormatFloat(mrr/n, 'f', 4, 64),
recallAt, strconv.FormatFloat(recall/n, 'f', 4, 64), strconv.FormatFloat(results/n, 'f', 2, 64))
return nil
}