4.7-production (#1053)

* 4.7-alpha3 (#62)

* doc

* Optimize possible null Pointers and parts of Ux

* fix: mulity index training error

* feat: doc and rename question guide

* fix ios speech input (#59)

* fix: prompt editor variables nowrap (#61)

* change openapi import in http module with curl import (#60)

* chore(ui): dataset import modal ui (#58)

* chore(ui): dataset import modal ui

* use component

* fix height

* 4.7 (#63)

* fix: claude3 image type verification failed (#1038) (#1040)

* perf: curl import modal

* doc img

* perf: adapt cohere rerank

* perf: code

* perf: input style

* doc

---------

Co-authored-by: xiaotian <dimsky@163.com>

* fix: ts

* docker deploy

* perf: prompt call

* doc

* ts

* finish ui

* perf: outlink detail ux

* perf: user schema

* fix: plugin update

* feat: get current time plugin

* fix: ts

* perf: fetch anamation

* perf: mark ux

* doc

* perf: select app ux

* fix: split text custom string conflict

* peref: inform readed

* doc

* memo flow component

* perf: version

* faq

* feat: flow max runtimes

* feat: similarity tip

* feat: auto detect file encoding

* Supports asymmetric vector model

* fix: ts

* perf: max w

* move code

* perf: hide whisper

* fix: ts

* feat: system msg modal

* perf: catch error

* perf: inform tip

* fix: inform

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
Co-authored-by: xiaotian <dimsky@163.com>

packages/service/core/dataset/search/controller.ts

@@ -77,7 +77,8 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
   const embeddingRecall = async ({ query, limit }: { query: string; limit: number }) => {
     const { vectors, tokens } = await getVectorsByText({
       model: getVectorModel(model),
-      input: query
+      input: query,
+      type: 'query'
     });
 
     const { results } = await recallFromVectorStore({
@@ -225,7 +226,7 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
     try {
       const results = await reRankRecall({
         query,
-        inputs: data.map((item) => ({
+        documents: data.map((item) => ({
           id: item.id,
           text: `${item.q}\n${item.a}`
         }))