Commit graph

207 commits

Author SHA1 Message Date
Lawrence Akka
880551deba
Use astimezone, add timezone tests, linting 2026-09-03 17:48:09 +03:00
Lawrence Akka
9c56f56660
Fix missing timezone info on ingested docs. mcp schema requires TZ 2026-09-03 17:48:01 +03:00
Yiorgis Gozadinos
a04a16c717
Remove the environment overrides and the last unnamed-database wording
HAIKU_RAG_DB and DB_PATH are gone: a capability covers what the
configuration places or the db_path it is given, and the app backend and
the AG-UI example load their configuration as the CLI does. The compose
files point HAIKU_RAG_CONFIG_PATH at the mounted haiku.rag.yaml, which
places the database at /data where DB_VOLUME is mounted; the backend
refuses a configured set since it serves one database. The chat scopes a
selection by source only over a set and names databases on filter rows
only across several. Docstrings, docs and test fixtures stop describing an
unnamed database; every database a search, listing or citation reports
carries a name.
2026-09-03 15:12:09 +03:00
Yiorgis Gozadinos
9baa213b34
Hand storage the database location, not the configuration that placed it
Store, connect_lancedb, gather_database_info and run_doctor take a
location, a path or a URI, and classify it with ConnectionMode.of.
SingleDatabaseSession owns the resolved DatabaseRef and passes its
location down. This removes DatabaseRef.connection(), default_db_path,
the placeholder path for URI-backed databases and the per-database
config copies, so the configuration a client holds is the one the caller
gave it. The chat hands its capabilities the scope it opened along with
the client it lends, and the v0.58.0 migration no longer checks local
free disk for a database behind a URI.
2026-09-03 15:11:37 +03:00
Yiorgis Gozadinos
2d8b2cb9ed
Expose search.vector_nprobes
The IVF probe count was the one vector search parameter with no
setting, and it is what bounds recall on a large indexed corpus:
partitions grow with the corpus, so a fixed probe count covers less of
it, and vector_refine_factor can only re-score what the probes
returned. Defaults to 20, matching lance, so search is unchanged.

Also corrects the create-index docs, which predate the measurement:
optimize() covers new chunks, so a rebuild is about retraining
centroids rather than reaching unindexed rows.
2026-09-01 15:54:36 +03:00
Yiorgis Gozadinos
7be71ebbac
Order cross-database fusion by cosine similarity to the query
Retrieval scores are each database's own rank arithmetic; the databases
in a selection share an embedder, so similarity in that one space is the
signal comparable across databases by construction. Measured product to
product against score ordering: +8.3 to +16.6pp recall@5 across five
cells on two corpora, flat in collection count and corpus shape where
score ordering dips with both, closing roughly 60% of the gap to a
reranker; order-sensitivity residual 0.00pp in every cell. Exact ties
collapse from 51-81% of candidates to under 1%. Full-text-only searches
keep retrieval-score order, having no query vector. The vector column
already travels with every search result, so the similarity costs no
additional transfer; per-chunk embeddings are materialized only for the
federated path that reads them.
2026-09-01 15:26:42 +03:00
Yiorgis Gozadinos
e49f4264d3
Update lancedb to 0.37.1
The newest release with wheels for every supported platform: 0.38.0
publishes none for x86_64 Linux or Windows. The zero-coverage FTS scan
path is still broken at 0.37.1, so the guard, prevention and repair
carry unchanged. ensure_indexes names the index it declares, keeping
replace deterministic on 0.38+, where an unnamed create_index builds a
suffixed sibling instead of replacing a different-typed index. An
invalid search filter raises ValueError.
2026-08-31 18:54:48 +03:00
Yiorgis Gozadinos
02bccb1b90
Repair an FTS index that covers no rows on write
Deleting or replacing every indexed row while unindexed rows remain
returns lance to the zero-coverage scan path. ensure_indexes rebuilds
a declared FTS index that covers none of a populated table's rows,
and delete_by_document_id runs index maintenance like the other chunk
writes. A legacy database in that state is repaired by its first write.
2026-08-31 18:54:48 +03:00
Yiorgis Gozadinos
35f8d721b1
Build the chunks FTS index on the first write instead of at table creation
An FTS index built over an empty table indexes nothing and lance never
catches it up on add. ensure_indexes skips FTS while the table is
empty; create, replace_for_document and embed-only rebuild ensure
indexes after writing, so the index always covers at least its first
rows. The first write into a fresh table writes one extra chunks table
version for the index build; a failed build fails the write.
2026-08-31 18:42:31 +03:00
Yiorgis Gozadinos
61df6b65a6
Guard against an FTS index that covers no rows
lance serves unsorted results with matching rows dropped when a
declared FTS index has indexed nothing, or when a populated table has
no FTS index at all. doctor fails on both: vacuum remediation for an
existing index, rebuild --embed-only for a missing one, since optimize
never creates an index. The chunk repository warns once per repository
on the first FTS or hybrid search against either state; a failing
coverage check is logged and never fails the search. Removes
_ensure_fts_index, which had no callers.
2026-08-31 18:42:31 +03:00
icearia0219
b93270adce Honor configured vector metric during search 2026-08-31 21:38:00 +08:00
Yiorgis Gozadinos
e0bde9d59a
Test the 0.20.0 and 0.25.0 migrations
Both were exempt from coverage, which is how the 0.38.0 blob-encoding bug
reached a release: nothing exercised the chain that produced it.

Move the historical `documents` shapes into tests/store/legacy_documents.py
so each migration's tests can seed the table as its predecessor left it.
2026-08-31 12:13:12 +03:00
Yiorgis Gozadinos
6133e5ff4a
Accept zstd docling blobs in the 0.38.0 migration
v0.25.0 compresses through compress_json, which switched from gzip to
zstd in 0.38.0 — the same release that added this migration. v0.38.0
decompressed with gzip and fell back to a raw UTF-8 decode, and both
fail on a zstd frame, so upgrading any database older than 0.25.0 has
died with UnicodeDecodeError since the migration shipped.

Reported with a fix by @omaer0 in #586.
2026-08-31 12:13:10 +03:00
Yiorgis Gozadinos
afdef92b5b
Finish the comment pass, and escape document fields everywhere Rich renders
`_rich_print_document` escapes uri, title and metadata, the sibling of
the escaped search-result renderer. The remaining comments and
docstrings that narrated rejected alternatives, consequences or history
now state the current invariant. The Sandbox class docstring names the
held connection close() releases, and wrapped docs paragraphs join to
one line.
2026-08-28 15:34:47 +03:00
Yiorgis Gozadinos
09a7076b7e
State what the code does, not what it replaced
Comments and docstrings across the branch narrated rejected
alternatives, consequences and history; each now states the current
contract. Renames test_a_legacy_uri_client_keeps_its_error to
test_an_unnamed_database_keeps_its_error. Documents the Sandbox
connection paths, the citation header's database segment, both
AmbiguousDatabaseError conditions on create_app, and run_inspector's
scope parameter. Doc paragraphs added by the branch in python.md,
storage.md and cli.md are one physical line each.
2026-08-28 15:13:52 +03:00
Yiorgis Gozadinos
5ecffdedf2
Read a created database's embedder with its settings
Creating re-read the settings blob and left `stored_embedding` at None, so a
client that created a database compared as though it recorded no embedder.
`_remember_settings` takes both, and the comment no longer says one follows the
other.
2026-08-27 18:04:27 +03:00
Yiorgis Gozadinos
b6bc54c69e
Answer for an unknown database name with one type
A name nothing covers raised `KeyError` in four places and
`AmbiguousDatabaseError` in a fifth, so a caller had to catch both and neither
name said what happened. `UnknownDatabaseError` is all of them, exported from
`haiku.rag.store` beside the other errors.

It subclasses `KeyError`, since selecting by name is a lookup, and prints its
message plainly rather than quoted as a missing key. Both CLIs turn it into the
same clean exit they already gave the others.
2026-08-27 18:04:27 +03:00
Yiorgis Gozadinos
b8bf846bb7
Cite a repeated chunk from its last occurrence
Collision detection replaced the lookup's dict comprehension with
`setdefault`, which also flipped a chunk found by several searches from its
last occurrence to its first. The copies differ in everything the expansion
window decides, figures included, so that silently changed what a citation
renders.

The rules are separate now: a repeated (source, chunk_id) takes the later
result, a chunk_id under two sources is still refused.
2026-08-27 13:25:06 +03:00
Yiorgis Gozadinos
0d7810c78a
Render collection identity only for multi-collection searches
`format_for_agent` named the database whenever one was named, so a search over
a single named database carried a line with nothing to distinguish. It now takes
`include_collection` from the caller, which decides from the search selection
rather than from the hits: a search that could have drawn on two collections
names them even when everything came back from one.

`Collection:` at the model boundary, database in configuration and
administration. `source` on results, documents, citations and analysis
dictionaries is unchanged.
2026-08-27 12:41:05 +03:00
Yiorgis Gozadinos
746b663a2f
Correct the multi-database prose
`resolve_citations` documented the behaviour it now rejects: a shared chunk id
resolving to whichever result came last.

The storage page ran two embedding checks together as if the second explained
the first. They are separate: each database against the configuration on open,
and the databases in a selection against each other, which raises in read-only
mode too and does not apply to full-text search.

`several` becomes `multiple` where it names the feature, matching the docs and
`covers_multiple`.
2026-08-27 11:40:52 +03:00
Yiorgis Gozadinos
4c2bfc4fc1
Drop the indirection around what a client covers
`covers_several_databases` had one line of body and two call sites.
`_db_path_given` guarded a default path manufactured in `__init__` and
overwritten in `__aenter__`; `_requested_db_path` is what the caller asked
for, and the effective path falls out of the resolved scope.
2026-08-26 13:34:09 +03:00
Yiorgis Gozadinos
1b3334b5af
Trim the comments to what a reader needs
One sentence for the contract, one or two more only where an invariant is not
obvious. The reasons that stay are about correctness and ownership: which
database a result belongs to, who closes what, why assembly order is the
tiebreak. The ones that go narrated how the code got here.
2026-08-26 13:29:00 +03:00
Yiorgis Gozadinos
9a3e2b86ca
Read a database's stored settings once
`Store` already parses the settings blob on open, so keep it: the
inspector's info modal was opening the settings table, querying it and
parsing the JSON a second time, and `doctor` was asking
`SettingsRepository` for it on a store it already held. Creating a
database refreshes it, so a new one reports the version init wrote.

`gather_database_info` keeps its own parse: it goes around `Store` so a
pre-migration database still reports what it can.
2026-08-25 17:38:32 +03:00
Yiorgis Gozadinos
d9ac221ca0
Refuse a chunk id that names a chunk in two databases
A chunk id is unique within a database and says nothing across them, so a
database copied from another holds the same ids. `qualified_id` keys the
two in-memory identity sites on the database and the id together:
`merge_results` was dropping the second database's result when a query
repeated, and the arrival map that breaks fused score ties was ranking one
of the pair as the other.

Everything serialized records the id alone, so there ambiguity is refused
rather than qualified. `resolve_citations` raises `AmbiguousCitationError`
for a cited id held by two of the databases searched, where it used to
resolve to whichever result came last; `_register_citations` raises for one
already cited from another database in an earlier question. `_cite` turns
both into a `ModelRetry` asking for other evidence. The direct-id fallback
asks every database the question covers instead of taking the first that
answers, so an id no search returned is refused on the same terms.
`all_found` collects them and `first_found` reads its first, which document
reads keep doing on purpose.

Also drop a duplicated 0.77.0 heading from the changelog.
2026-08-25 17:38:25 +03:00
Yiorgis Gozadinos
bddb32b469
Build the embedder for a set from configuration
An embedder is a function of configuration, not of a database, and the
databases in a selection share one, so a client covering a set builds it
on first use and closes it on teardown. Operations that need one database
say so instead of surfacing a missing store.
2026-08-24 15:28:21 +03:00
Yiorgis Gozadinos
16e0add64b
Embed a search query once for the whole selection
Each database owns an embedder, so embedding per database cost a round
trip each. One database still embeds inside the repository, which returns
early for a filter that matches nothing.
2026-08-24 15:27:59 +03:00
Yiorgis Gozadinos
c3182d0fb6
Require one embedder across databases searched together
Searching a set embeds the query once, so a database written with another
model answers from a different vector space.
2026-08-24 15:27:59 +03:00
Yiorgis Gozadinos
e94623ec37
Tell a document which database it came from
Document.source names the configured database, as SearchResult and
Citation already do. A listing spanning databases is unreadable
without it, and `--database NAME list` could not name the one it
opened.
2026-08-24 10:03:47 +03:00
Yiorgis Gozadinos
5c9639bbbb
Move ConfigMismatchError to the store exceptions module
The CLI reports this error, and importing it from the settings repository
pulled lancedb onto the CLI's import path. Deferring the import into cli()
bought nothing, since cli() runs on every invocation: it cost about 1.9
seconds on a cold start, `--help` included.

It now sits beside the other store exceptions, in a module that imports
nothing, and every importer points there.
2026-08-24 10:03:46 +03:00
Yiorgis Gozadinos
fdb5710491
Ask and analyze across several databases
Chunk 2 gave search a configured set to fan out over. ask and analyze
covered one database still: the RAG capability had no way to be told which
databases a question spanned, and the analysis sandbox mounted one
document tree.

The selection travels as sources on EvidenceState, beside the filter it
scopes with, so both capabilities read it the same way. clients_covering
is the one rule that turns a selection into clients, used by search, the
sandbox mount and the cite fallback, so a question scoped to some
databases cannot search, mount or cite another. Citations carry the
database they came from, and format_for_agent names it, so the model can
attribute evidence while it answers rather than only afterwards.

The sandbox keeps one flat /documents/{id}/ namespace and resolves each id
to the client holding it, which rests on ids being UUID4. A database
copied from another breaks that, so an id held twice is refused rather
than resolved to whichever arrived last.

On the CLI, search, ask and analyze cover the configured set and label
each result with its database. Every other command works on one, named
with --database NAME (a name reaches a database behind a URI, which --db
cannot) or --db PATH, and refuses a set it cannot choose from instead of
silently reading the default database. Cold databases open together, so a
first query costs the slowest open rather than their sum.
2026-08-24 10:03:46 +03:00
Yiorgis Gozadinos
f33b789a31
Ask across databases and name the source of each citation
`ask(sources=[…])` scopes a question to some of the configured databases, carried
on the capability state so its search tool searches those. `Citation.source` names
the database a cited chunk came from, resolved from the search results the model
saw, which already carry it.

Context expansion routes each result through the database it came from: a
federating client has no repositories of its own.

The cite fallback, which looks up an id absent from this run's results, searches
only the selected databases. A chunk id says nothing about which database holds
it, so placing one means asking, and asking outside the selection would let a
question scoped to some databases cite another.

The loosely-specced client mocks in the capability tests now say they stand in for
a single-database client. A bare AsyncMock answers any attribute with a truthy
Mock, so `_federated` sent the fallback down the multi-database branch, and
`_source` reached a validated field.
2026-08-24 10:03:46 +03:00
Yiorgis Gozadinos
397b553528
Search several configured databases and fuse the results
`lancedb.databases` maps a name to a location, mutually exclusive with `uri`.
`search(sources=[…])` selects which to search, `sources=None` searches all of them
and `sources=[]` searches none; `SearchResult.source` carries the configured name,
so a path or URI never leaves the configuration. A database named in config keeps
its name even when it is the only one configured; only a legacy single `uri`
leaves `source` unset.

Databases open on first use, not at entry. Which are searched is a per-query
choice, so a set of 25 queried a few at a time opens a few, and a database nobody
asked for can neither fail a query nor be opened for nothing.

A named database that fails to open raises `SourceUnavailableError` naming it,
raised outside the handler so the original is not attached at all. A local failure
spells out the absolute path and an object-store failure can carry the bucket;
`from None` would only stop that being printed, leaving it on `__context__` for
anything that walks the chain. A legacy `uri` client has no name to report
instead, so its error passes through unchanged.

Candidates are fetched concurrently, then fused before anything is ranked. A
configured reranker scores the union, which is what makes ranking across
databases tractable: it compares query against document and does not care where a
candidate came from. Without one, reciprocal rank fusion over the per-database
rankings, since scores from separate indexes are not comparable. Enrichment then
runs on the survivors through the database each came from, concurrently, so it
costs what a single-database search costs.

The over-fetch decision and the reranker belong to the federating client alone.
Deciding per database would have each consult its own, and a local reranker loads
model weights per instance. It is built only for a text query, and closed once by
the client that owns it.

A location without a scheme is opened as a local path rather than through
`lancedb.uri`. Routing it through `uri` had `ConnectionMode` classify it as object
storage, which opens a missing database instead of reporting it.

With several databases configured, `store` and the repositories are left unset:
they have no unambiguous meaning across a set, and picking one silently would be
worse than the error.
2026-08-24 10:03:45 +03:00
Yiorgis Gozadinos
971ec0a5b0
Coerce a string db_path to Path at the Store and capability boundaries
The documented `HaikuRAG("knowledge.lancedb")` and `rag(db_path="my.lancedb")`
forms both raised `AttributeError: 'str' object has no attribute 'exists'`.
`Store.__init__` assigned its argument to a `Path`-annotated attribute without
coercing, and `resolve_db_path` returned a non-None argument unchanged. Every
runnable example wraps the path in `Path(...)`, which is why it survived.

Coerce in `Store.__init__` and `resolve_db_path`; widen the annotations on
`Store`, `HaikuRAG` and both `create_capability` factories to accept `str`.
2026-08-21 12:49:45 +03:00
Yiorgis Gozadinos
4967765878
Delete comments that restate the line below them
Sixty-three comments said what the next statement already said: # Connect to
LanceDB above connect_lancedb, # Path object above isinstance(source, Path),
# Get page numbers from provenance above the prov loop, # Clear and populate
results above list_view.clear(). They cost a read and carry nothing.

The line is whether a comment restates one statement or labels a phase. Phase
labels stay: the migrations keep # Create staging table with new schema and
# Copy from staging to final table in batches, each heading ten lines of a
long procedure. So do comments carrying a fact the code cannot: the
merge_insert update-only note on document_meta, why the poller builds sources
eagerly, why create_document_from_source returns a list for directories, that
indexes need training data, the field-group markers in the config models, and
the file:// URL-encoding note in create_document_from_source.

capabilities/ is untouched. Its docstrings sit next to prompt surface, and
changing them needs an eval to back it.

The cassette-recording docs were wrong three ways. They named
tests/test_qa.py::test_qa_anthropic, which no longer exists; they targeted
whole modules, so a rewrite would re-record cassettes for services the
recorder is not running; and they used COHERE_API_KEY where the SDK reads
CO_API_KEY. docs/development.md now names exact tests with -n0, and the keyed
example is test_cohere_reranker, which owns the one cassette recording
api.cohere.com.
2026-08-20 15:22:33 +03:00
Yiorgis Gozadinos
629e1ba4ea
Split the store module by responsibility
engine.py held four unrelated things: what the tables are, how to open a
connection, how to read a database's state, and the Store that coordinates
writes. At 1240 lines the Store's own concerns — locks, migrations, vacuum,
tags — were hard to find among them.

Table records, Arrow schemas, index_specs, ensure_indexes, REQUIRED_TABLES
and query_to_pydantic move to store/schema.py, which imports nothing from
haiku.rag: it describes the tables and never opens or mutates one.

gather_database_info, get_database_stats, DatabaseInfo and its result models
move to store/info.py. Nothing in Store calls them — they are read paths for
the CLI, doctor, inspector and ingester API — so info depends on engine and
not the reverse.

engine.py keeps the Store, ConnectionMode, connect_lancedb, the tag helpers
and the restore-order and retention constants. No re-exports: importers
point at the new modules.

test_app_info_uses_connect_lancedb_for_remote patched
haiku.rag.store.engine.connect_lancedb; gather_database_info now binds that
name in info.py, so the patch targets where the call is looked up.
2026-08-20 12:13:51 +03:00
Yiorgis Gozadinos
e8f00fcff4
Make get_config the only configuration lookup
haiku.rag.config exported two configuration instances: the lazy _config
behind get_config/set_config, and Config, loaded at import time. Nothing
linked them, and eleven signatures captured Config as a default argument,
so set_config could not reach the factories, the client, the store or the
MCP server. reranking/base.py went further and snapshotted the configured
reranker name into a class attribute at import.

Config is removed. Internal defaults are config: AppConfig | None = None,
resolved through get_config() per call. RerankerBase._model is None and
CohereReranker takes its model name as an argument, like every other
reranker.

The suite patched attributes on Config while production read the instance
get_config() returns, a different object, so those patches were no-ops
waiting to happen. They now go through get_config().
2026-08-19 14:43:40 +03:00
Yiorgis Gozadinos
2da294b850
Put multi-table writes behind one transaction boundary
Four call sites repeated lock, snapshot, try/except, restore. Each used
restore_table_versions, which restores in _tables() order — documents
first, contradicting RESTORE_TABLE_ORDER — and each caught Exception, so
a cancellation mid-write skipped rollback and left the earlier table
writes committed.

Store.write_transaction() holds the lock, snapshots under it, and rolls
back through _rollback_to_snapshot: RESTORE_TABLE_ORDER, shielded from
cancellation, absorbed cancellation re-delivered, rollback failure raised
with the original as cause. The two single-table update_meta sites keep
the bare lock.

The batch documents write moves inside the guarded body; it was outside
the try, so a failure there was never rolled back. Auto-vacuum is
scheduled after the transaction rather than inside it.

restore_table_versions is removed; those four sites were its only callers.
2026-08-19 14:05:40 +03:00
Yiorgis Gozadinos
73944f91ea
Close the source adapter one-shot ingestion builds
create_document_from_source resolves a fetcher per call and never closed
it, so every one-shot URL or WebDAV ingest leaked an httpx connection
pool. Close it, but only when we built it: resolve_adhoc_fetcher returns
a caller-supplied source when one matches the URI, and the ingester keeps
those open across jobs.

Directory ingestion also yielded symlinked files resolving outside the
directory it was given. rglob does not recurse into symlinked
directories, so a symlinked file was the only way out of the tree; skip
those, as FSSource.discover already does.

The chunk repository docstring named client._ensure_chunks_embedded,
which does not exist.
2026-08-19 13:14:21 +03:00
Yiorgis Gozadinos
62da6086b8
Stop the reranker fetch reading text it discards
Collapsing the caption text into `get_pictures_grouped` served the enrichment
path, which uses it, but the multimodal reranker discards the second return value
while still paying to read the column. That is the widest fan-out in the codebase,
`limit * 10` candidates, and it previously projected self_ref and picture_data
alone.

`with_text` is opt-in and off by default, so the cheap projection is what a caller
gets unless it asks for more. The reranker test asserts the projection as well as
the query count, since a count alone would not notice the column coming back.
2026-08-18 18:00:00 +03:00
Yiorgis Gozadinos
65f6d72cd5
Remove the single-document item accessors the batching replaced
`resolve_refs`, `get_items_in_range`, `get_caption_picture_refs` and
`get_all_items_grouped` have no callers left: the grouped equivalents serve every
path that used them. `get_all_items_grouped` had none even before this branch.

Tests whose subject was a removed method go with it. Tests that only used one to
fetch a fixture now use the grouped call, so what they assert is unchanged.
2026-08-18 17:12:10 +03:00
Yiorgis Gozadinos
460215158d
Batch the multimodal reranker's picture fetch
`_attach_picture_data` fetched picture bytes once per document, over the
`limit * 10` candidates reranking asks for, so it was the per-document fetch with
the most candidates behind it. It now issues one query however many documents the
candidates span: one for ten documents, as for one.

Removes `get_text_for_refs`, whose only caller now gets the text back with the
bytes from `get_pictures_grouped`.

`test_client_search_include_images_false_skips_lookup` returned no search
results, so asserting the picture accessor went uncalled held whatever the code
did. It now returns a picture-carrying result, making "did not fetch" the
assertion rather than "had nothing to fetch".
2026-08-18 16:58:26 +03:00
Yiorgis Gozadinos
5b0444043a
Batch context expansion across documents
`expand_with_items` fetched its own inputs per document: one query to resolve
refs to positions, one for the window of items around them. A result set spanning
N documents cost 2N queries, which was 10 of the 18 measured for a limit=5 search
on a remote object-store corpus.

`expand_context` now does both fetches once for every document it is expanding,
and `expand_with_items` takes the positions and items it needs. Two queries for
one document, and two for five.

Each document keeps its own inclusive window in `get_items_in_ranges`. Positions
repeat across documents, so a shared range would splice one document's items into
another's context.
2026-08-18 16:35:17 +03:00
Yiorgis Gozadinos
af6a6b0bbe
Batch search enrichment across documents
`_populate_image_data` ran its stages once per result document, so a result set
spanning N documents cost 4N `document_items` queries. Measured on a remote
object-store corpus, a limit=5 search with expansion was 18 queries, 16 of them
against `document_items`.

The stages now run once each across every document, and flat in document count:
two queries for the dependent caption-to-picture mapping when results ranked on a
caption, one for the picture bytes. Two queries for a picture-ref result set,
three at most.

Picture text comes back with the bytes rather than from a second query, since it
is on the same rows.

Predicates are per document, `(document_id = 'a' AND self_ref IN (…)) OR (…)`,
rather than `self_ref IN (union)`. self_ref and position values repeat across
documents, so a union predicate would return other documents' rows: for
picture_data that fetches blobs nobody asked for, and it can hand one document
another document's picture.
2026-08-18 16:23:16 +03:00
Lawrence Akka
cdd1b99e6b
Merge branch 'main' into chunk-metadata 2026-08-18 14:15:56 +02:00
Yiorgis Gozadinos
da207da106
Read the table list and settings once per open
Opening a database ran `list_tables` three times, opened the settings table
twice, and read and parsed the same settings row three times: once for the stored
vector dimension, once for the version behind the migration check, and once for
config validation. On object storage each of those is a round trip.

`_initialize` now reads both once and threads them down. `_init_tables` and
`_check_migrations` take what it read instead of fetching their own copy, and
`validate_config_compatibility` accepts the settings it should compare against,
still reading for itself when called directly.

Passing the pre-init read to validation is equivalent: nothing between the read
and the validation rewrites `embeddings`, which is all it compares.

The settings read no longer swallows every exception. It did before, when the
only consequence was falling back to the configured vector dimension; now the
same empty result feeds the migration check, where it would read as version
0.0.0 and declare every migration pending. Only decode failures are tolerated,
and a decoded non-object normalizes to {} rather than reaching callers that
expect a mapping.
2026-08-18 14:58:17 +03:00
Yiorgis Gozadinos
6f976ef2a9
Share the LanceDB session across connections
Every `Store` built its own connection with its own caches and discarded them on
close, so the index a vector query loads was refetched by the next connection.
On object storage that first fetch dominates: measured on a ~500k-chunk 2560-dim
corpus over a ~200ms link, the first query cost ~41s and the second ~3s, and a
new connection reusing the session cost ~7s instead of ~47s.

`connect_lancedb` now passes a process-wide session, keyed on the configured
cache sizes so a caller asking for different sizes gets its own.

Also sets `read_consistency_interval`, defaulting to 30s. It was None, meaning a
connection never re-checked for other processes' writes. Per-call connections hid
that; a shared session makes connections long-lived enough for a reader to go
stale against the ingester.

All three settings reject negatives at the config boundary. A negative cache size
raises OverflowError and a negative interval panics inside Lance, so neither is
catchable further in. Zero stays valid for both: no cache, and check on every
read.

The routing tests now assert the kwargs they care about rather than the full call
signature, since every connection carries the two new kwargs.
2026-08-18 14:58:17 +03:00
Lawrence Akka
47feeb32ee Linting, doc edits 2026-08-18 12:18:10 +02:00
Yiorgis Gozadinos
11644c7f43
Trim comments, docstrings and docs to what they need to say
Also drops two things that were stale rather than merely verbose: the CLI docs
note for 0.75.0, which was the only release-tagged note in the docs tree while
the CHANGELOG already records that existing databases need `haiku-rag migrate`;
and "(created or corrected)" from the migration log line, left over from the
earlier behaviour that replaced wrong-typed indexes.
2026-08-18 12:38:02 +03:00
Lawrence Akka
09ff101349 Expose all chunk metadata on search results and citations through SearchResult.chunk_meta and Citation.chunk_meta 2026-08-17 19:42:23 +02:00
Yiorgis Gozadinos
8e93b639bc
Migrate existing databases to the full index set
Adds the 0.75.0 upgrade, which brings a pre-existing database up to the index
set `_init_tables` now creates. It rewrites no table data, so unlike the earlier
data migrations its cost is the index builds alone, each of which reads the
column it indexes.

`ensure_indexes` ensures an index of the declared *type* covers each declared
column, rather than checking that the column is indexed at all. The distinction
is what makes it safe to run against a database of unknown provenance:

- A wrong-typed index no longer satisfies the check. A BTree on `label` covers
  the column while losing the low-cardinality equality lookup the Bitmap is for.
- Nothing is dropped or converted away from. Two index types over one column can
  be deliberate, serving different query shapes, so an index this function did
  not declare survives even on a column it does. The one thing it overwrites is
  an index at LanceDB's default name, `{column}_idx`, which is the name it
  creates itself.
- A column already carrying the declared type is skipped, so a database with the
  full set migrates instantly rather than re-sorting every indexed column.
- Undeclared columns are untouched, so a vector index on `chunks` survives.

It returns the columns it acted on, because a change is not always visible from
outside: adding a Bitmap beside an existing BTree leaves the column indexed
before and after.

The version bump to 0.75.0 is required, not incidental: `_set_initial_version`
stamps a new database with the installed package version, so a migration
numbered above it would be pending the moment the database was created.

`test_client_update_document_replaces_rows_with_bounded_versions` turns
auto_vacuum off. Indexing `documents` means a background vacuum now has an index
to maintain on that table, so `optimize()` writes a version where it previously
had nothing to do, and it landed inside the window the test measures. The
document update itself is still one version, so the bound stays exact.
2026-08-17 16:34:58 +03:00