Skip to content

chore: changeset for unreleased read primitives (minor → 1.1.0) #71

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
techiejd merged 1 commit into from
Jun 22, 2026
Merged

chore: changeset for unreleased read primitives (minor → 1.1.0) #71

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions .changeset/config.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,5 +11,8 @@
"access": "public",
"baseBranch": "main",
"updateInternalDependencies": "patch",
"___experimentalUnsafeOptions_WILL_CHANGE_IN_PATCH": {
"onlyUpdatePeerDependentsWhenOutOfRange": true
},
"ignore": []
}
16 changes: 16 additions & 0 deletions .changeset/read-primitives-and-populate-embedding.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,16 @@
---
"payloadcms-vectorize": minor
"@payloadcms-vectorize/pg": minor
"@payloadcms-vectorize/cf": minor
"@payloadcms-vectorize/mongodb": minor
---

Add vector read primitives and the ability to retrieve stored embedding vectors.

- **`vectorizedPayload.findByIds({ knowledgePool, ids, populateEmbedding })`** — batch-fetch embedding records by id, returning `Record<string, EmbeddingRecord | undefined>` (misses map to `undefined`). Implemented across the pg, cf, and mongodb adapters.
- **`vectorizedPayload.searchByEmbedding({ knowledgePool, embedding, where, limit, populateEmbedding })`** — run a vector search directly from a raw embedding vector, skipping the query-embedding step. This is the "more like this" primitive: feed it the `embedding` returned by `findByIds({ populateEmbedding: true })` to find similar content. Result shape and `where` filtering match `search()`. Unlike `search()`, it does not run reranking even on a pool configured with `rerank`, since rerankers operate on the original query text. Local API only.
- **`populateEmbedding?: boolean`** option (default `false`) on `search()` and `searchByEmbedding()` — when `true`, each result includes its stored embedding vector. `VectorSearchResult` and `EmbeddingRecord` now expose `embedding?: number[]`.

Fix:

- **mongodb adapter** `search()` now returns all stored fields (including extension fields) on each result, matching the pg and cf adapters for cross-adapter parity.
Loading