Configure Azure Developer Pipeline

Author: manekinekko

.env.example

@@ -31,7 +31,7 @@ AZURE_AI_SEARCH_DOC_ID_FIELD="doc_id"
 AZURE_AI_SEARCH_EMBEDDING_FIELD="embedding"
 AZURE_AI_SEARCH_ID_FIELD="id"
 AZURE_AI_SEARCH_METADATA_FIELD="metadata"
-AZURE_AI_SEARCH_EMBEDDING_DIMENSIONALITY="3072"
+AZURE_AI_SEARCH_EMBEDDING_DIMENSIONALITY="1536"
 
 # Optional: Set the log level for the Azure SDKs.
 AZURE_LOG_LEVEL=info

app/api/chat/engine/settings.ts

@@ -136,7 +136,7 @@ export const initSettings = async () => {
       // FIXME: import IndexManagement.CREATE_IF_NOT_EXISTS from 'llamaindex'
       // indexManagement: IndexManagement.CREATE_IF_NOT_EXISTS,
       indexManagement: "CreateIfNotExists" as IndexManagement,
-      embeddingDimensionality: Number(process.env.AZURE_AI_SEARCH_EMBEDDING_DIMENSIONALITY) ?? 3072,
+      embeddingDimensionality: Number(process.env.AZURE_AI_SEARCH_EMBEDDING_DIMENSIONALITY) ?? 1536,
       languageAnalyzer: KnownAnalyzerNames.EnLucene,
       // store vectors on disk
       vectorAlgorithmType: KnownVectorSearchAlgorithmKind.ExhaustiveKnn,

docs/features.md

@@ -114,7 +114,7 @@ azd env set AZURE_OPENAI_EMB_MODEL_NAME text-embedding-3-small
 azd env set AZURE_OPENAI_EMB_MODEL_NAME text-embedding-3-large
 ```
 
-2. Specify the desired dimensions of the model: (from 256-3072, model dependent)
+2. Specify the desired dimensions of the model: (from 256-1536, model dependent)
 
 ```shell
 azd env set AZURE_OPENAI_EMB_DIMENSIONS 256

infra/main.parameters.json

@@ -69,7 +69,7 @@
       "value": "${AZURE_AI_SEARCH_EMBEDDING_FIELD=embedding}"
     },
     "searchEmbeddingDimensionality": {
-      "value": "${AZURE_AI_SEARCH_EMBEDDING_DIMENSIONALITY=3072}"
+      "value": "${AZURE_AI_SEARCH_EMBEDDING_DIMENSIONALITY=1536}"
     },
     "searchIdField": {
       "value": "${AZURE_AI_SEARCH_ID_FIELD=id}"