pub mod chunk;
pub mod embed;
pub mod filter;
pub mod fleet;
pub mod index;
pub mod lock;
pub mod mcp;
pub mod store;
pub mod watch;
use anyhow::{Context, Result, bail};
use embed::Model;
use fastembed::TextEmbedding;
use filter::Filter;
use index::{Allowlist, VectorIndex};
use rusqlite::Connection;
use serde::Serialize;
use std::path::{Path, PathBuf};
use std::time::{SystemTime, UNIX_EPOCH};
const BIT_WIDTH: usize = 4;
const EMBED_BATCH: usize = 8;
pub fn default_model() -> Model {
Model::Granite
}
const PENDING: &str = "";
const GENERATION: &str = "index_generation";
const RRF_K: f32 = 60.0;
const RANK_DEPTH: usize = 4;
const CHECKPOINT_INTERVAL: std::time::Duration = std::time::Duration::from_secs(30);
const CHECKPOINT_SECS_ENV: &str = "SEMLITH_CHECKPOINT_SECS";
fn checkpoint_interval() -> std::time::Duration {
match std::env::var(CHECKPOINT_SECS_ENV)
.ok()
.and_then(|v| v.parse().ok())
{
Some(secs) => std::time::Duration::from_secs(secs),
None => CHECKPOINT_INTERVAL,
}
}
#[derive(Debug, Clone, Serialize)]
pub struct Hit {
pub score: f32,
pub path: String,
pub start_line: u32,
pub end_line: u32,
pub text: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub store: Option<String>,
}
#[derive(Debug, Default, Clone, Copy)]
pub struct IndexProgress {
pub scanned: usize,
pub indexed: usize,
pub chunks: usize,
pub total: usize,
}
#[derive(Debug, Default, Clone, Copy, Serialize)]
pub struct IndexReport {
pub scanned: usize,
pub indexed: usize,
pub unchanged: usize,
pub skipped: usize,
pub removed: usize,
pub chunks: usize,
pub remaining: usize,
}
pub struct Semlith {
dir: PathBuf,
db: Connection,
index: VectorIndex,
model: Model,
dim: usize,
embedder: Option<TextEmbedding>,
generation: u64,
pub quiet: bool,
}
impl Semlith {
pub fn open(dir: impl AsRef<Path>, model: Option<Model>) -> Result<Self> {
let dir = dir.as_ref().to_path_buf();
std::fs::create_dir_all(&dir)
.with_context(|| format!("creating store directory {}", dir.display()))?;
let db = store::open(&dir.join("store.db"))?;
let model = match store::get_meta(&db, "model")? {
Some(existing) => {
let existing: Model = existing.parse().map_err(anyhow::Error::msg)?;
if let Some(want) = model
&& want != existing
{
bail!(
"store was built with {existing}, not {want}; \
delete {} to rebuild with a different model",
dir.display()
);
}
existing
}
None => {
let m = model.unwrap_or_else(default_model);
store::set_meta(&db, "model", &m.to_string())?;
store::set_meta(&db, store::FORMAT_KEY, &store::FORMAT_VERSION.to_string())?;
m
}
};
let dim = model.dim()?;
let sharded = store::format(&db)? >= store::SHARDED_FORMAT;
let index = VectorIndex::open(&dir, dim, BIT_WIDTH, sharded)?;
let generation = generation(&db)?;
Ok(Self {
dir,
db,
index,
model,
dim,
embedder: None,
generation,
quiet: false,
})
}
pub fn open_existing(dir: impl AsRef<Path>) -> Result<Self> {
let dir = dir.as_ref();
if !dir.join("store.db").exists() {
bail!(
"{} is not a semlith store — no store.db in it; index it first",
dir.display()
);
}
Self::open(dir, None)
}
pub fn refresh(&mut self) -> Result<()> {
let current = generation(&self.db)?;
if current == self.generation {
return Ok(());
}
if !self.index.exists() {
return Ok(());
}
let was_resident = self.index.is_resident();
self.index.evict();
if was_resident {
self.index.prepare()?;
}
self.generation = current;
Ok(())
}
pub fn model(&self) -> &Model {
&self.model
}
pub fn dim(&self) -> usize {
self.dim
}
pub fn len(&self) -> usize {
if let Some(resident) = self.index.resident_len() {
return resident;
}
store::durable_chunks(&self.db).unwrap_or(0) as usize
}
pub fn is_empty(&self) -> bool {
self.len() == 0
}
pub fn db(&self) -> &Connection {
&self.db
}
pub fn dir(&self) -> &Path {
&self.dir
}
pub fn shards(&self) -> Option<(usize, usize)> {
self.index
.max_resident()
.map(|max| (self.index.shards(), max))
}
pub fn evictions(&self) -> u64 {
self.index.evictions()
}
fn embedder(&mut self) -> Result<&mut TextEmbedding> {
if self.embedder.is_none() {
self.embedder = Some(self.model.load(
model_cache_dir(),
chunk::MAX_CHARS / 2,
self.quiet,
)?);
}
Ok(self.embedder.as_mut().unwrap())
}
pub fn warm(&mut self) -> Result<()> {
self.embedder()?;
self.index.prepare()?;
Ok(())
}
pub fn warm_index(&mut self) -> Result<()> {
self.index.prepare()
}
fn embed(&mut self, texts: Vec<String>) -> Result<Vec<Vec<f32>>> {
let mut out = self
.embedder()?
.embed(texts, Some(EMBED_BATCH))
.map_err(|e| anyhow::anyhow!("{e}"))?;
for v in &mut out {
normalize(v);
}
Ok(out)
}
pub fn index_paths(
&mut self,
roots: &[PathBuf],
on_file: impl FnMut(&Path, IndexProgress),
) -> Result<IndexReport> {
let _lock = lock::StoreLock::acquire(&self.dir)?;
self.index_walk(roots, on_file)
}
pub fn index_paths_within(
&mut self,
roots: &[PathBuf],
budget: std::time::Duration,
on_file: impl FnMut(&Path, IndexProgress),
) -> Result<IndexReport> {
let _lock = lock::StoreLock::acquire(&self.dir)?;
let deadline = std::time::Instant::now() + budget;
self.index_set(walk(roots), true, Some(deadline), on_file)
}
pub(crate) fn index_walk(
&mut self,
roots: &[PathBuf],
on_file: impl FnMut(&Path, IndexProgress),
) -> Result<IndexReport> {
self.index_set(walk(roots), true, None, on_file)
}
pub(crate) fn index_changed(
&mut self,
paths: Vec<PathBuf>,
on_file: impl FnMut(&Path, IndexProgress),
) -> Result<IndexReport> {
self.index_set(paths, false, None, on_file)
}
fn index_set(
&mut self,
paths: Vec<PathBuf>,
sweep: bool,
deadline: Option<std::time::Instant>,
mut on_file: impl FnMut(&Path, IndexProgress),
) -> Result<IndexReport> {
self.index.clean();
let mut report = IndexReport::default();
let mut pending = Batch::default();
let mut completed: Vec<(i64, String)> = Vec::new();
let checkpointing = matches!(self.index, index::VectorIndex::Sharded(_));
let interval = checkpoint_interval();
let mut last_checkpoint = std::time::Instant::now();
let total = paths.len();
for (seen, path) in paths.into_iter().enumerate() {
if let Some(deadline) = deadline
&& report.indexed > 0
&& std::time::Instant::now() >= deadline
{
report.remaining = total - seen;
break;
}
report.scanned += 1;
let key = path.to_string_lossy().into_owned();
match std::fs::metadata(&path) {
Ok(m) if m.len() > 0 && m.len() <= chunk::MAX_FILE_BYTES => {}
_ => {
if !path.exists() {
let ids = store::delete_file(&self.db, &key)?;
if !ids.is_empty() {
for id in ids {
self.index.remove(id)?;
}
report.removed += 1;
continue;
}
}
report.skipped += 1;
continue;
}
}
let Ok(bytes) = std::fs::read(&path) else {
report.skipped += 1;
continue;
};
let hash = blake3::hash(&bytes).to_hex().to_string();
if store::file_hash(&self.db, &key)?.as_deref() == Some(hash.as_str()) {
report.unchanged += 1;
continue;
}
let Some(text) = chunk::extract(&path, &bytes) else {
report.skipped += 1;
continue;
};
let chunks = chunk::chunk_text(&text);
if chunks.is_empty() {
report.skipped += 1;
continue;
}
on_file(
&path,
IndexProgress {
scanned: report.scanned,
indexed: report.indexed,
chunks: report.chunks,
total,
},
);
for id in store::delete_file(&self.db, &key)? {
self.index.remove(id)?;
}
let file_id = store::insert_file(&self.db, &key, PENDING, bytes.len() as u64, now())?;
for (ord, c) in chunks.iter().enumerate() {
let id =
store::insert_chunk(&self.db, file_id, ord, c.start_line, c.end_line, &c.text)?;
pending.ids.push(id as u64);
pending.texts.push(c.text.clone());
if pending.ids.len() >= EMBED_BATCH {
self.flush(&mut pending)?;
}
}
completed.push((file_id, hash));
report.indexed += 1;
report.chunks += chunks.len();
if checkpointing && last_checkpoint.elapsed() >= interval {
self.flush(&mut pending)?;
self.checkpoint(&mut completed)?;
last_checkpoint = std::time::Instant::now();
}
}
self.flush(&mut pending)?;
if sweep {
for key in store::all_paths(&self.db)? {
if !Path::new(&key).exists() {
for id in store::delete_file(&self.db, &key)? {
self.index.remove(id)?;
}
report.removed += 1;
}
}
}
if report.indexed > 0 || report.removed > 0 || !self.index.exists() {
self.save()?;
}
self.commit_hashes(&mut completed)?;
Ok(report)
}
fn checkpoint(&mut self, completed: &mut Vec<(i64, String)>) -> Result<()> {
if completed.is_empty() {
return Ok(());
}
self.save()?;
self.commit_hashes(completed)
}
fn commit_hashes(&mut self, completed: &mut Vec<(i64, String)>) -> Result<()> {
if completed.is_empty() {
return Ok(());
}
let tx = self.db.unchecked_transaction()?;
for (file_id, hash) in completed.iter() {
tx.execute(
"UPDATE files SET hash = ?1 WHERE id = ?2",
rusqlite::params![hash, file_id],
)?;
}
tx.commit()?;
completed.clear();
Ok(())
}
fn flush(&mut self, batch: &mut Batch) -> Result<()> {
if batch.ids.is_empty() {
return Ok(());
}
let ids = std::mem::take(&mut batch.ids);
let texts = std::mem::take(&mut batch.texts);
let vectors = self.embed(texts)?;
let flat: Vec<f32> = vectors.into_iter().flatten().collect();
self.index.add(&flat, &ids)?;
Ok(())
}
pub fn forget(&mut self, path: &Path) -> Result<usize> {
let _lock = lock::StoreLock::acquire(&self.dir)?;
let key = canonical(path).to_string_lossy().into_owned();
let ids = store::delete_file(&self.db, &key)?;
for id in &ids {
self.index.remove(*id)?;
}
if !ids.is_empty() {
self.save()?;
}
Ok(ids.len())
}
pub fn search(&mut self, query: &str, k: usize) -> Result<Vec<Hit>> {
self.search_filtered(query, k, &Filter::default())
}
fn allowlist(&mut self, filter: &Filter) -> Result<Allowlist> {
if filter.is_empty() {
return Ok(Allowlist::All);
}
let candidates = store::filtered_chunk_ids(&self.db, filter.groups())?;
let mut ids = Vec::with_capacity(candidates.len());
for id in candidates {
if self.index.contains(id)? {
ids.push(id);
}
}
Ok(if ids.is_empty() {
Allowlist::Empty
} else if ids.len() == self.len() {
Allowlist::All
} else {
Allowlist::Subset(ids)
})
}
pub fn matching_files(&self, filter: &Filter) -> Result<i64> {
store::matching_files(&self.db, filter.groups())
}
pub fn matching_paths(&self, filter: &Filter) -> Result<Vec<String>> {
store::filtered_paths(&self.db, filter.groups())
}
pub fn search_filtered(&mut self, query: &str, k: usize, filter: &Filter) -> Result<Vec<Hit>> {
let vector = self.embed(vec![self.model.query_text(query)])?.remove(0);
self.search_with_vector(query, &vector, k, filter)
}
pub fn search_with_vector(
&mut self,
query: &str,
vector: &[f32],
k: usize,
filter: &Filter,
) -> Result<Vec<Hit>> {
Ok(self
.search_ranked(query, vector, k, filter)?
.into_iter()
.map(|(hit, _)| hit)
.collect())
}
pub fn search_ranked(
&mut self,
query: &str,
vector: &[f32],
k: usize,
filter: &Filter,
) -> Result<Vec<(Hit, f32)>> {
self.refresh()?;
if k == 0 || self.is_empty() {
return Ok(Vec::new());
}
let depth = (k * RANK_DEPTH).max(k);
let allowlist = self.allowlist(filter)?;
if matches!(allowlist, Allowlist::Empty) {
return Ok(Vec::new());
}
let (dense_scores, dense_ids) = self.index.search(vector, depth, &allowlist)?;
let keyword_ids = store::keyword_search(&self.db, query, depth, filter.groups())?;
let mut fused: Vec<(u64, f32)> = Vec::new();
let mut seen: std::collections::HashMap<u64, usize> = std::collections::HashMap::new();
for ranking in [&dense_ids, &keyword_ids] {
for (rank, id) in ranking.iter().enumerate() {
let contribution = 1.0 / (RRF_K + rank as f32 + 1.0);
match seen.get(id) {
Some(&slot) => fused[slot].1 += contribution,
None => {
seen.insert(*id, fused.len());
fused.push((*id, contribution));
}
}
}
}
fused.sort_by(|a, b| b.1.total_cmp(&a.1));
fused.truncate(k);
let mut hits = Vec::with_capacity(fused.len());
for (id, score) in fused {
if let Some(row) = store::chunk(&self.db, id)? {
let similarity = dense_ids
.iter()
.position(|d| *d == id)
.and_then(|i| dense_scores.get(i).copied())
.unwrap_or(0.0);
hits.push((
Hit {
score,
path: row.path,
start_line: row.start_line,
end_line: row.end_line,
text: row.text,
store: None,
},
similarity,
));
}
}
Ok(hits)
}
pub fn stats(&self) -> Result<(i64, i64, i64)> {
store::stats(&self.db)
}
pub fn save(&mut self) -> Result<()> {
self.index.save()?;
self.generation = generation(&self.db)? + 1;
store::set_meta(&self.db, GENERATION, &self.generation.to_string())?;
Ok(())
}
}
#[derive(Default)]
struct Batch {
ids: Vec<u64>,
texts: Vec<String>,
}
pub(crate) fn normalize(v: &mut [f32]) {
let norm = v.iter().map(|x| x * x).sum::<f32>().sqrt();
if norm > 0.0 {
for x in v {
*x /= norm;
}
}
}
fn generation(db: &Connection) -> Result<u64> {
Ok(store::get_meta(db, GENERATION)?
.and_then(|v| v.parse().ok())
.unwrap_or(0))
}
fn now() -> i64 {
SystemTime::now()
.duration_since(UNIX_EPOCH)
.map(|d| d.as_secs() as i64)
.unwrap_or(0)
}
pub fn human_bytes(bytes: i64) -> String {
const KB: f64 = 1024.0;
let b = bytes as f64;
if b >= KB * KB {
format!("{:.1} MB", b / (KB * KB))
} else if b >= KB {
format!("{:.0} KB", b / KB)
} else {
format!("{bytes} B")
}
}
pub fn canonical(path: &Path) -> PathBuf {
std::fs::canonicalize(path).unwrap_or_else(|_| path.to_path_buf())
}
pub fn model_cache_dir() -> PathBuf {
if let Ok(dir) = std::env::var("SEMLITH_MODEL_CACHE") {
return PathBuf::from(dir);
}
let base = std::env::var("HOME")
.map(PathBuf::from)
.unwrap_or_else(|_| PathBuf::from("."));
base.join(".cache").join("semlith").join("models")
}
pub fn default_store_dir() -> PathBuf {
store_dirs(&[]).remove(0)
}
pub fn store_dirs(flags: &[PathBuf]) -> Vec<PathBuf> {
if !flags.is_empty() {
return flags.to_vec();
}
if let Some(raw) = std::env::var_os("SEMLITH_STORE") {
let dirs: Vec<PathBuf> = std::env::split_paths(&raw)
.filter(|p| !p.as_os_str().is_empty())
.collect();
if !dirs.is_empty() {
return dirs;
}
}
vec![PathBuf::from(".semlith")]
}
fn walk(roots: &[PathBuf]) -> Vec<PathBuf> {
let mut out = Vec::new();
let mut seen = std::collections::HashSet::new();
for root in roots {
let mut builder = ignore::WalkBuilder::new(root);
builder
.hidden(true)
.git_ignore(true)
.git_global(true)
.git_exclude(true)
.parents(true)
.require_git(false)
.filter_entry(|e| e.file_name() != ".semlith");
for result in builder.build() {
let entry = match result {
Ok(e) => e,
Err(e) => {
eprintln!("semlith: skipping unreadable path: {e}");
continue;
}
};
if !entry.file_type().is_some_and(|t| t.is_file()) {
continue;
}
let path = canonical(entry.path());
if seen.insert(path.clone()) {
out.push(path);
}
}
}
out
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn normalize_gives_unit_length() {
let mut v = vec![3.0, 4.0];
normalize(&mut v);
assert!((v.iter().map(|x| x * x).sum::<f32>() - 1.0).abs() < 1e-6);
let mut z = vec![0.0, 0.0];
normalize(&mut z);
assert_eq!(z, vec![0.0, 0.0]);
}
#[test]
fn one_large_file_does_not_queue_more_than_a_batch() {
let text = "a line of perfectly ordinary text\n".repeat(4000);
let chunks = chunk::chunk_text(&text);
assert!(
chunks.len() > EMBED_BATCH * 4,
"test file is too small to prove anything: {} chunks",
chunks.len()
);
let mut queued = 0usize;
let mut high_water = 0usize;
for _ in &chunks {
queued += 1;
high_water = high_water.max(queued);
if queued >= EMBED_BATCH {
queued = 0;
}
}
assert_eq!(
high_water, EMBED_BATCH,
"queue grew past one batch within a single file"
);
}
#[test]
fn a_new_store_records_the_default_model_and_reopens_on_it() {
let dir = tempdir();
let created = Semlith::open(&dir, None).unwrap();
assert_eq!(*created.model(), default_model());
assert_eq!(created.dim(), 384);
drop(created);
let reopened = Semlith::open(&dir, None).unwrap();
assert_eq!(*reopened.model(), default_model());
}
#[test]
fn an_existing_store_keeps_its_own_model() {
use fastembed::EmbeddingModel;
let dir = tempdir2();
let old = Model::Builtin(EmbeddingModel::BGESmallENV15);
let created = Semlith::open(&dir, Some(old.clone())).unwrap();
assert_eq!(*created.model(), old);
drop(created);
let reopened = Semlith::open(&dir, None).unwrap();
assert_eq!(*reopened.model(), old);
assert!(Semlith::open(&dir, Some(Model::Granite)).is_err());
}
fn tempdir() -> PathBuf {
let d = std::env::temp_dir().join(format!("semlith-test-{}", std::process::id()));
let _ = std::fs::remove_dir_all(&d);
d
}
fn tempdir2() -> PathBuf {
let d = std::env::temp_dir().join(format!("semlith-test-b-{}", std::process::id()));
let _ = std::fs::remove_dir_all(&d);
d
}
}