23 Commits

Author SHA1 Message Date
Timothy Jaeryang Baek 1d6d4e6e66 refac
Co-Authored-By: Classic298 <27028174+Classic298@users.noreply.github.com>
2026-08-25 16:27:17 -04:00
Classic298 2d18727ab8 perf: build info log messages lazily so raising the log level actually saves work (#27837)
Raising GLOBAL_LOG_LEVEL to WARNING buys quieter output but not less work: 241 INFO call sites interpolate their payload into an f-string before the logging call gets to drop it. The heaviest is get_doc, which logs every chunk id and metadata dict in a collection, so on the full-context retrieval path that is the entire knowledge base, once per chat request.

That one line at WARNING, CPython 3.12:

| knowledge base | payload | before   | after   |
| -------------- | ------- | -------- | ------- |
| top-k of 3     | 1.2 kB  | 3.8 us   | 0.07 us |
| 500 chunks     | 201 kB  | 583.6 us | 0.08 us |
| 5000 chunks    | 2.0 MB  | 5.8 ms   | 0.15 us |

The lazy form log.info('query_doc:result %s %s', result.ids, result.metadatas) hands the payload to record.getMessage(), which the InterceptHandler only reaches once a record has passed the level check. Output at INFO is byte-identical. Two sites that already built their message eagerly, one str concat and one % operator, move to the same lazy form.
2026-08-02 15:39:10 -05:00
Classic298 eb38389636 fix: delete Qdrant points by ID so memory deletions don't orphan vectors (#25495)
The Qdrant backends implemented delete(ids=...) as a payload filter on
metadata.id, but points are stored with the item id as the Qdrant point id
(see _create_points), and not every point carries an id in its payload.
Memory points store only {created_at} in metadata (KB metadata embeddings
likewise), so deleting a single memory matched nothing and left an orphaned
vector that kept being injected into RAG context.

Delete by point id instead: PointIdsList for the standard backend, and a
tenant-scoped HasIdCondition for multitenancy (point ids are unique, so tenant
isolation is preserved). Filter-based deletion is unchanged.

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-01 14:13:46 -07:00
Timothy Jaeryang Baek 6d0295588e refac: modernize type annotations (PEP 604 / PEP 585) 2026-05-12 17:10:15 +09:00
Timothy Jaeryang Baek de3317e26b refac 2026-03-17 17:58:01 -05:00
Timothy Jaeryang Baek c6a1469fad refac 2026-03-08 19:05:15 -05:00
Timothy Jaeryang Baek 5990c51ab5 chore: format 2026-01-09 22:27:53 +04:00
Timothy Jaeryang Baek 3c986adeda enh: kb metadata search 2026-01-09 22:21:00 +04:00
Classic298 823b9a6dd9 chore/perf: Remove old SRC level log env vars with no impact (#20045)
* Update openai.py

* Update env.py

* Merge pull request open-webui#19030 from open-webui/dev (#119)

Co-authored-by: Tim Baek <tim@openwebui.com>
Co-authored-by: Claude <noreply@anthropic.com>

---------

Co-authored-by: Tim Baek <tim@openwebui.com>
Co-authored-by: Claude <noreply@anthropic.com>
2025-12-20 08:16:14 -05:00
Timothy Jaeryang Baek 77189664c2 chore: format 2025-08-09 23:57:35 +04:00
expruc 8af9ad3f30 updated query function with scroll too 2025-08-09 22:04:41 +03:00
expruc 88abd01b87 qdrant client improvements 2025-08-09 21:12:30 +03:00
guenhter 5c2e0e4beb feat: add qdrant indices for metadata fields
All fieldnames which are part of a query should
have an index for performance reasons. This is
even enforced on some qdrant cluster like those
on qdrant.io, and queries using a unindexed column
fail with an error.
2025-06-29 15:30:55 +02:00
guenhter a66206f44f feat: support better qdrant collection isolation
The prefix string for qdrant collection is now
configurable,  which means the same qdrant cluster
can be used to host more open webui instances and
to be able to separate the collections between the
different owui instances.
2025-06-26 13:52:26 +02:00
Athanasios Oikonomou 1e291aff25 feat: Add abstract base class for vector database integration
- Created `VectorDBBase` as an abstract base class to standardize vector database operations.
- Added required methods for common vector database operations: `has_collection`, `delete_collection`, `insert`, `upsert`, `search`, `query`, `get`, `delete`, `reset`.
- The base class can now be extended by any vector database implementation (e.g., Qdrant, Pinecone) to ensure a consistent API across different database systems.
2025-04-21 08:27:27 +03:00
Juan Calderon-Perez 6188c0c5b7 Add suport for Qdrant GRPC 2025-04-17 01:13:49 -04:00
Juan Calderon-Perez b4d0d840d1 Fix formatting of qdrant.py 2025-04-15 08:56:51 -04:00
Athanasios Oikonomou 575c12f80c feat: add QDRANT_ON_DISK configuration option for Qdrant integration
This commit will allow configuring the on_disk client parameter, to reduce the memory usage.
https://qdrant.tech/documentation/concepts/storage/?q=mmap#configuring-memmap-storage
Default is false, keeping vectors in memory.
2025-04-15 01:40:57 +03:00
Marko Henning 7531b7dcaa Satisfy github format check 2025-03-25 19:09:17 +01:00
Marko Henning 94d9d3d590 Fix: Normalze all database distances to score in [0, 1] 2025-03-25 16:46:14 +01:00
Yifang Deng 0e5d5ecb81 refactor: replace print statements with logging for better error tracking 2025-02-25 15:53:55 +01:00
Timothy Jaeryang Baek 867c4bc0d0 wip: retrieval 2024-12-11 18:05:42 -08:00
Timothy Jaeryang Baek d3d161f723 wip 2024-12-10 00:54:13 -08:00