Files
LocalAI/docs
Stefan Walcz 950c271710 [router] fix: re-seed the knn corpus index when the vector store comes back empty (#12267)
fix(router): re-seed the knn corpus index when the vector store comes back empty

The corpus manager records a store as synced by file fingerprint and
embedding fingerprint. The local-store backend behind it is an in-memory
gRPC process the model loader may evict (active-backend cap, memory
pressure) or the idle watchdog may kill, and relaunch on the next
request — empty. The file is unchanged, so EnsureLoaded returned early
and the router went blind: every probe fell back with similarity 0 while
corpus/stats kept reporting the full count.

Measured on a production router (LOCALAI_MAX_ACTIVE_BACKENDS=6, four
resident models + two router stores): loading any further backend
evicted a store, and the idle watchdog killed both after 15 minutes;
/stores/find returned 0 hits against a 100-line corpus file whose stored
vectors matched fresh embeddings with cosine 1.000.

Two parts, because the knn classifier is built once and cached
(GetOrBuildClassifier), so the sync at build time is otherwise the only
one for the process lifetime:

- corpus.Manager remembers one vector it inserted (probe) and, on the
  synced path, asks the live index for it. A miss means the index was
  relaunched — fall through and re-seed from the file (no re-embedding).
- The router middleware wraps the knn classifier's store so every
  lookup runs EnsureLoaded first; the loader gets the raw store, so its
  probe never re-enters the wrapper. A sync error fails the lookup
  closed, like the build-time load.

Specs: corpus package (relaunched empty store is re-seeded under an
unchanged file), middleware (relaunched index behind the cached
classifier is re-seeded instead of falling back; the spec is red without
the wrapper). The test fake now answers Search for inserted vectors.
Folds in the maintainer's follow-up (router-corpus-reseed-after-store-relaunch): reviewed and accepted.


Assisted-by: Claude:claude-opus-5-5

Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
2026-09-28 00:52:47 +02:00
..

LocalAI website

LocalAI documentation website

Requirement

In this project, the Docsy theme component is pulled in as a Hugo module, together with other module dependencies:

$ hugo mod graph
hugo: collected modules in 566 ms
hugo: collected modules in 578 ms
github.com/google/docsy-example github.com/google/docsy@v0.5.1-0.20221017155306-99eacb09ffb0
github.com/google/docsy-example github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/twbs/bootstrap@v4.6.2+incompatible
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/FortAwesome/Font-Awesome@v0.0.0-20220831210243-d3a7818c253f

If you want to do SCSS edits and want to publish these, you need to install PostCSS

npm install

Running the website locally

Building and running the site locally requires a recent extended version of Hugo. You can find out more about how to install Hugo for your environment in our Getting started guide.

From the LocalAI repository root, run:

make docs

The Hugo configuration lives in the docs directory. To invoke Hugo directly instead, run:

cd docs
hugo server

Running a container locally

You can run docsy-example inside a Docker container, the container runs with a volume bound to the docsy-example folder. This approach doesn't require you to install any dependencies other than Docker Desktop on Windows and Mac, and Docker Compose on Linux.

  1. Build the docker image

    docker-compose build
    
  2. Run the built image

    docker-compose up
    

    NOTE: You can run both commands at once with docker-compose up --build.

  3. Verify that the service is working.

    Open your web browser and type http://localhost:1313 in your navigation bar, This opens a local instance of the docsy-example homepage. You can now make changes to the docsy example and those changes will immediately show up in your browser after you save.

Cleanup

To stop Docker Compose, on your terminal window, press Ctrl + C.

To remove the produced images run:

docker-compose rm

For more information see the Docker Compose documentation.

Troubleshooting

As you run the website locally, you may run into the following error:

➜ hugo server

INFO 2021/01/21 21:07:55 Using config file: 
Building sites … INFO 2021/01/21 21:07:55 syncing static files to /
Built in 288 ms
Error: Error building site: TOCSS: failed to transform "scss/main.scss" (text/x-scss): resource "scss/scss/main.scss_9fadf33d895a46083cdd64396b57ef68" not found in file cache

This error occurs if you have not installed the extended version of Hugo. See this section of the user guide for instructions on how to install Hugo.

Or you may encounter the following error:

➜ hugo server

Error: failed to download modules: binary with name "go" not found

This error occurs if you have not installed the go programming language on your system. See this section of the user guide for instructions on how to install go.