BE-359: Refactor entity embedding generation to use entity IDs instead of full entities #8345

TimDiekmann · 2026-02-02T14:56:28Z

🌟 What is the purpose of this PR?

This PR improves entity embedding security by moving property filtering from the backend to the worker. Instead of sending full entities to the worker, we now only send entity IDs and let the worker fetch and filter the entities, ensuring sensitive data is properly excluded from embeddings.

🔍 What does this change?

Refactors the embedding workflow to accept entity IDs instead of full entity objects
Moves property filtering logic from Rust to TypeScript in the worker
Adds support for configurable embedding exclusions based on entity type
Improves filtering by applying exclusions before embedding generation
Increases chunk size for entity ID batches (from 100 entities to 10,000 IDs)

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

modifies a Cargo-publishable library, but it is not yet ready to publish

📜 Does this require a change to the docs?

The changes in this PR:

are internal and do not require a docs change

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

do not affect the execution graph

🛡 What tests cover this?

Existing tests for embedding generation

❓ How to test this?

Checkout the branch
Create entities with properties that should be excluded from embeddings
Verify that the excluded properties are not included in the generated embeddings

Avoids Temporal payload size limits by sending lightweight entity IDs (~100 bytes each) rather than full entity objects (potentially MBs). The TypeScript workflow fetches entities and applies property exclusions dynamically based on the config passed from Rust. - Add `embeddingExclusions` parameter to workflow for dynamic filtering - Remove Rust-side `filter_entities_for_embedding` function - Chunk entity IDs at 10,000 per workflow invocation

cursor · 2026-02-02T14:56:34Z

PR Summary

Medium Risk
Changes the Temporal payload and embedding workflow contract, and moves sensitive-property filtering into the worker; mistakes could cause missing/incorrect embeddings or unintended property inclusion.

Overview
Entity embedding generation is refactored to send only entityIds (plus optional embeddingExclusions) to the Temporal updateEntityEmbeddings workflow, instead of sending full entity payloads.

The TS worker now queries entities by ID (building a filter, early-returning on empty input, and excluding FlowRun both in-filter and as a runtime safeguard) and applies per-entity-type property exclusions before calling createEntityEmbeddingsActivity. The Rust Postgres store removes its local entity-property filtering and now triggers embedding workflows with entity IDs and the configured exclusions; the Temporal client API is updated accordingly and increases batching from 100 entities to 10,000 IDs per workflow invocation.

^{Written by Cursor Bugbot for commit 02733f8. This will update automatically on new commits. Configure here.}

TimDiekmann · 2026-02-02T14:56:48Z

Warning

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vercel · 2026-02-02T14:56:57Z

The latest updates on your projects. Learn more about Vercel for GitHub.

4 Skipped Deployments

Project	Deployment	Actions	Updated (UTC)
hash	Ignored	Preview	Feb 2, 2026 3:13pm
hashdotdesign	Ignored	Preview	Feb 2, 2026 3:13pm
hashdotdesign-tokens	Ignored	Preview	Feb 2, 2026 3:13pm
petrinaut	Skipped		Feb 2, 2026 3:13pm

codecov · 2026-02-02T15:01:06Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 24.33%. Comparing base (2f45f6f) to head (02733f8).

Additional details and impacted files

@@                                Coverage Diff                                @@
##           t/be-310-dont-allow-filtering-users-by-email    #8345       +/-   ##
=================================================================================
- Coverage                                         53.47%   24.33%   -29.15%     
=================================================================================
  Files                                               303      547      +244     
  Lines                                             50427    41194     -9233     
  Branches                                            740     2666     +1926     
=================================================================================
- Hits                                              26964    10023    -16941     
- Misses                                            23180    31042     +7862     
+ Partials                                            283      129      -154

Flag	Coverage Δ
apps.hash-ai-worker-ts	`1.41% <ø> (?)`
rust.error-stack	`?`
rust.harpc-net	`?`
rust.harpc-wire-protocol	`?`
rust.hash-codec	`?`
rust.hash-graph-authorization	`?`
rust.hash-graph-types	`?`
rust.hashql-hir	`?`

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augmentcode · 2026-02-02T15:02:25Z

🤖 Augment PR Summary

Summary: Refactors entity-embedding updates to pass only entity IDs to the Temporal worker so the worker fetches and filters entities before generating embeddings.

Changes:

Worker workflow `updateEntityEmbeddings` now accepts `entityIds`, constructs a Graph query filter from IDs, and queries entities in the worker.
Adds `embeddingExclusions` (entity-type base URL → property base URLs) and applies exclusions in the worker before calling embedding generation.
Postgres store now enqueues embedding updates using entity IDs plus the embedding-exclusion config rather than sending full entities.
Temporal client workflow API updated to accept IDs/exclusions and increases batching from 100 entities to 10,000 IDs per workflow invocation.

Technical Notes: Moves sensitive-property filtering into the worker to reduce exposure risk and ensure exclusions are applied immediately before embedding input creation.

_{🤖 Was this summary useful? React with 👍 or 👎}

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Review completed. 1 suggestions posted.

Comment augment review to trigger a new review at any time.

apps/hash-ai-worker-ts/src/workflows.ts

Return early when no entity IDs are provided to avoid building an ambiguous filter with empty `any: []` clause.

github-actions · 2026-02-02T16:28:51Z

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$27.0 \mathrm{ms} \pm 184 \mathrm{μs}\left({\color{lightgreen}-5.183 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.25 \mathrm{ms} \pm 15.9 \mathrm{μs}\left({\color{gray}1.53 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$12.5 \mathrm{ms} \pm 92.1 \mathrm{μs}\left({\color{red}5.09 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$42.5 \mathrm{ms} \pm 354 \mathrm{μs}\left({\color{gray}-0.542 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.4 \mathrm{ms} \pm 87.0 \mathrm{μs}\left({\color{gray}-2.530 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$23.3 \mathrm{ms} \pm 138 \mathrm{μs}\left({\color{lightgreen}-8.375 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$43.1 \mathrm{ms} \pm 191 \mathrm{μs}\left({\color{gray}0.938 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$20.9 \mathrm{ms} \pm 119 \mathrm{μs}\left({\color{red}5.22 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$28.9 \mathrm{ms} \pm 154 \mathrm{μs}\left({\color{gray}4.18 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.65 \mathrm{ms} \pm 24.4 \mathrm{μs}\left({\color{gray}-0.800 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.80 \mathrm{ms} \pm 13.9 \mathrm{μs}\left({\color{gray}-1.893 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.16 \mathrm{ms} \pm 17.2 \mathrm{μs}\left({\color{gray}-0.773 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$4.95 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}-2.571 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.44 \mathrm{ms} \pm 22.5 \mathrm{μs}\left({\color{gray}-0.454 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$3.97 \mathrm{ms} \pm 22.9 \mathrm{μs}\left({\color{gray}-1.380 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.26 \mathrm{ms} \pm 28.7 \mathrm{μs}\left({\color{gray}2.87 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.23 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}-0.811 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.89 \mathrm{ms} \pm 26.0 \mathrm{μs}\left({\color{gray}0.933 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.35 \mathrm{ms} \pm 9.36 \mathrm{μs}\left({\color{gray}-1.728 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.31 \mathrm{ms} \pm 11.0 \mathrm{μs}\left({\color{gray}-0.206 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.40 \mathrm{ms} \pm 9.06 \mathrm{μs}\left({\color{gray}0.155 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.60 \mathrm{ms} \pm 9.89 \mathrm{μs}\left({\color{gray}-0.617 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.47 \mathrm{ms} \pm 8.65 \mathrm{μs}\left({\color{gray}-0.199 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.67 \mathrm{ms} \pm 10.4 \mathrm{μs}\left({\color{gray}-0.120 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$2.76 \mathrm{ms} \pm 12.5 \mathrm{μs}\left({\color{gray}-0.108 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.48 \mathrm{ms} \pm 13.0 \mathrm{μs}\left({\color{gray}1.30 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.60 \mathrm{ms} \pm 13.9 \mathrm{μs}\left({\color{gray}-0.052 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.13 \mathrm{ms} \pm 18.3 \mathrm{μs}\left({\color{gray}1.12 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.68 \mathrm{ms} \pm 10.6 \mathrm{μs}\left({\color{gray}-0.206 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$2.88 \mathrm{ms} \pm 13.4 \mathrm{μs}\left({\color{gray}0.949 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.07 \mathrm{ms} \pm 17.2 \mathrm{μs}\left({\color{gray}0.426 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.65 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{gray}-0.245 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$2.88 \mathrm{ms} \pm 13.7 \mathrm{μs}\left({\color{gray}-1.438 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$39.5 \mathrm{ms} \pm 156 \mathrm{μs}\left({\color{gray}0.450 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$76.8 \mathrm{ms} \pm 425 \mathrm{μs}\left({\color{gray}1.02 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$43.1 \mathrm{ms} \pm 146 \mathrm{μs}\left({\color{gray}-0.215 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$46.0 \mathrm{ms} \pm 260 \mathrm{μs}\left({\color{gray}0.376 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$54.2 \mathrm{ms} \pm 342 \mathrm{μs}\left({\color{gray}-0.441 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$41.3 \mathrm{ms} \pm 180 \mathrm{μs}\left({\color{gray}0.775 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$421 \mathrm{ms} \pm 917 \mathrm{μs}\left({\color{gray}0.958 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$93.9 \mathrm{ms} \pm 370 \mathrm{μs}\left({\color{gray}-1.615 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$84.3 \mathrm{ms} \pm 360 \mathrm{μs}\left({\color{gray}-1.051 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$280 \mathrm{ms} \pm 723 \mathrm{μs}\left({\color{lightgreen}-10.621 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$14.9 \mathrm{ms} \pm 73.1 \mathrm{μs}\left({\color{gray}-2.960 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$14.8 \mathrm{ms} \pm 69.4 \mathrm{μs}\left({\color{gray}-4.952 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$15.2 \mathrm{ms} \pm 64.5 \mathrm{μs}\left({\color{gray}-3.863 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$14.8 \mathrm{ms} \pm 61.5 \mathrm{μs}\left({\color{lightgreen}-5.272 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$17.8 \mathrm{ms} \pm 86.8 \mathrm{μs}\left({\color{gray}-4.060 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$14.7 \mathrm{ms} \pm 65.6 \mathrm{μs}\left({\color{lightgreen}-5.387 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$14.6 \mathrm{ms} \pm 65.4 \mathrm{μs}\left({\color{gray}-4.442 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$14.6 \mathrm{ms} \pm 63.9 \mathrm{μs}\left({\color{gray}-3.782 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$15.2 \mathrm{ms} \pm 69.0 \mathrm{μs}\left({\color{lightgreen}-5.639 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$22.6 \mathrm{ms} \pm 151 \mathrm{μs}\left({\color{gray}-4.901 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/block/v/1`	$$30.3 \mathrm{ms} \pm 258 \mathrm{μs}\left({\color{gray}-1.933 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$30.1 \mathrm{ms} \pm 276 \mathrm{μs}\left({\color{lightgreen}-7.502 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$29.6 \mathrm{ms} \pm 259 \mathrm{μs}\left({\color{lightgreen}-8.621 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$31.3 \mathrm{ms} \pm 301 \mathrm{μs}\left({\color{gray}3.16 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$30.5 \mathrm{ms} \pm 330 \mathrm{μs}\left({\color{gray}-2.127 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$31.1 \mathrm{ms} \pm 304 \mathrm{μs}\left({\color{gray}-4.340 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$30.7 \mathrm{ms} \pm 320 \mathrm{μs}\left({\color{gray}1.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$30.1 \mathrm{ms} \pm 304 \mathrm{μs}\left({\color{lightgreen}-5.482 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$30.8 \mathrm{ms} \pm 339 \mathrm{μs}\left({\color{gray}-2.469 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.15 \mathrm{ms} \pm 42.6 \mathrm{μs}\left({\color{gray}-0.085 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$91.5 \mathrm{ms} \pm 398 \mathrm{μs}\left({\color{gray}-0.205 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$141 \mathrm{ms} \pm 478 \mathrm{μs}\left({\color{gray}-0.496 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$102 \mathrm{ms} \pm 419 \mathrm{μs}\left({\color{gray}2.28 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$106 \mathrm{ms} \pm 481 \mathrm{μs}\left({\color{gray}-1.542 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$117 \mathrm{ms} \pm 605 \mathrm{μs}\left({\color{gray}0.665 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$123 \mathrm{ms} \pm 451 \mathrm{μs}\left({\color{gray}-0.046 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$90.7 \mathrm{ms} \pm 412 \mathrm{μs}\left({\color{gray}-0.112 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$116 \mathrm{ms} \pm 542 \mathrm{μs}\left({\color{gray}0.690 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$96.9 \mathrm{ms} \pm 420 \mathrm{μs}\left({\color{gray}0.161 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$102 \mathrm{ms} \pm 385 \mathrm{μs}\left({\color{gray}-2.969 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$104 \mathrm{ms} \pm 502 \mathrm{μs}\left({\color{gray}-1.415 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$103 \mathrm{ms} \pm 362 \mathrm{μs}\left({\color{gray}-2.274 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$135 \mathrm{ms} \pm 532 \mathrm{μs}\left({\color{gray}2.60 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$134 \mathrm{ms} \pm 554 \mathrm{μs}\left({\color{gray}0.373 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$105 \mathrm{ms} \pm 676 \mathrm{μs}\left({\color{gray}-0.897 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$609 \mathrm{ms} \pm 3.48 \mathrm{ms}\left({\color{gray}1.78 \mathrm{\%}}\right) $$	Flame Graph

apps/hash-ai-worker-ts/src/workflows.ts

TimDiekmann mentioned this pull request Feb 2, 2026

BE-310: Protect sensitive properties from enumeration attacks #8332

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graphite-app bot assigned TimDiekmann Feb 2, 2026

github-actions bot added area/apps > hash* Affects HASH (a `hash-*` app) area/libs Relates to first-party libraries/crates/packages (area) type/eng > backend Owned by the @backend team area/apps labels Feb 2, 2026

TimDiekmann mentioned this pull request Feb 2, 2026

SRE-415: Fix vercel not building #8342

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Handle empty entityIds array in embedding workflow

02733f8

Return early when no entity IDs are provided to avoid building an ambiguous filter with empty `any: []` clause.

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BE-359: Refactor entity embedding generation to use entity IDs instead of full entities #8345

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BE-359: Refactor entity embedding generation to use entity IDs instead of full entities #8345

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TimDiekmann commented Feb 2, 2026

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Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

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