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Settings › Embeddings

Describes GLLmolfar 0.9.22current release 0.9.23 · checked 1 Nov 2026

Embeddings are what topics, cannibalization, semantic search and the topic map are built from. This section sets whether a new crawl makes them, how much of each page the model reads, and where the model runs.

Where
Settings › Embeddings
Model
One model on this computer, the same in every mode
Built from
The text of each crawled page
Changes
From the next crawl

On the screen

Settings › Embeddings in GLLmolfar: four mode cards under a term explanation, the test button, and the model's text, thread and device settings
real screenshotProject getlooploop.com. Other sites and brands on screen are replaced with neutral names.

  1. A term explained. Hovering the dotted Embeddings heading: one sentence and More in the GetLoopLoop glossary. Under it, Embeddings on for new crawls.

  2. Modes. Standard, Extended, Long and Longest: how much text per section and how many sections. Each card shows its result in our test and, once tested, its result on this computer.

  3. Test on this computer. Measures every mode on the open crawl's longest pages. Nothing leaves the computer.

  4. Locked modes. Modes beyond standard are for signed-in accounts (free). Sign in with Google stands beside it, and the cards carry a lock.

  5. The model's settings. Text per page and Long pages, the same choice as the cards; then CPU threads for the model and Where the model runs.

  6. Test and tune CPU and GPU. Measures the CPU and the GPU and sets threads and batch sizes for this computer.

The four modes

Every mode runs the same model, so changing mode downloads nothing. A mode is a size of text per section and a number of sections per page, printed on the card as tokens × sections. Our test is a fixed set of pages: a sentence from the second half of each page had to find its own page, and the figure is how often that page was in the first five.

CardSizeWhat the card saysOur test: right page in the top 5
Standard256 × 4The start of each of four sections. Fastest.71%
Extended512 × 4Twice the text of each section. The best match in our test.80%
Long1024 × 4Four times the text. Slower, no better in our test.79%
Longest2048 × 2Two sections read almost whole. Slowest.77%

After Test on this computer, each card shows how many pages per second it embedded here, how many times slower than Standard it was, and how often it found its page among the open crawl's pages. Three marks can appear: Most accurate here, Fastest here and Found fewer here. The result is kept until the next test, with the site, the number of pages and the date.

Fields

FieldOptionsWhat it does
Embeddings on for new crawlsOn or off. On by default.Whether the toolbar's Embeddings box starts ticked. Without embeddings a crawl has no topics, cannibalization or semantic search.
Text per page256 tokens (faster), 512 tokens (more precise), 1024 tokens, 2048 tokens (slowest)How much text of each section the model reads.
Long pagesStart of the page only (fastest), Up to 2 sections, Up to 4 sections (recommended), Up to 8 sections (slowest)How many sections of a long page are read.
CPU threads for the modelFrom 1 to the number of cores. Half the cores by default.How many processor threads the model uses.
Where the model runsBalanced: the faster of CPU and GPU (recommended), CPU only, GPU (DirectML)Balanced uses the CPU until a test shows the GPU is clearly faster. The GPU choice and the test exist on Windows only; elsewhere the model runs on the CPU.
Test and tune CPU and GPUA buttonTries thread counts and batch sizes on the CPU, then the GPU, in about two minutes, and keeps the best for this computer.

States and messages

Not testedNot tested on this computer yet

A card before the first test. Only our test's figure is shown.

TestingMode 2 of 4: 512 × 4…

The mode test is running, one mode after another.

BusyWait until the crawl and its embeddings finish, then test.

A test cannot run beside a crawl.

No pagesOpen a crawl with saved pages first: the test uses its longest pages.

The mode test needs an open crawl.

FailedThe test stopped: …

The reason follows the colon. Settings are unchanged.

Device not testedNot tested yet. Balanced mode uses the CPU until a test shows the GPU is clearly faster.

Before Test and tune CPU and GPU has run.

Device testingTesting thread counts and batch sizes on the CPU, then the GPU: about two minutes…

The device test is running.

Stays on CPUBalanced mode stays on the CPU: the GPU is not 1.5× faster, and a built-in GPU takes its memory from the same RAM.

The test's verdict, with the measured rates before it.

Uses GPUBalanced mode uses the GPU: it is worth its memory here.

The test's verdict, with the measured rates before it.

GPU failedThe GPU could not run the model here; CPU … texts/s. Balanced mode uses the CPU.

The model runs on the CPU.

Related pages

TopicsThe Topics tab: the site's pages grouped by meaning, with each topic's size, key terms, cohesion, internal linking, cannibal pairs and central page.CannibalizationThe Cannibalization tab: groups of pages that say almost the same thing, the page to keep, the pages side by side and their text passage by passage.Semantic searchThe Semantic search tab: type a question and get the crawled pages closest to it in meaning, with the sections of each page that match best.Topic mapThe Topic map tab: every embedded page as a dot, placed by meaning and coloured by topic, status, indexability or depth, with a card for each page.Settings › StorageSettings › Storage: how much disk the saved crawls, the embedding model and downloaded updates take, per project, and the actions that free it.