Waiting for extension to be loaded

Author: polterguy

backend/files/misc/workflows/workflows/machine-learning/search-for-training-snippet.hl

@@ -73,6 +73,7 @@ floatArray2bytes:x:@http.post/*/content/*/data/0/*/embedding/*
 data.connect:[generic|magic]
 
    // Initializing ml_training_snippets.
+   sleep:10
    data.execute:"select vector_init('ml_training_snippets', 'embeddings', 'dimension=1536,type=FLOAT32,distance=cosine')"
 
    // Creating our SQL.

backend/files/system/magic/ml_training_snippets-vss.get.hl

@@ -72,6 +72,7 @@ if
 data.connect:[generic|magic]
 
    // Initializing ml_training_snippets.
+   sleep:10
    data.execute:"select vector_init('ml_training_snippets', 'embeddings', 'dimension=1536,type=FLOAT32,distance=cosine')"
 
 

backend/files/system/openai/magic.startup/magic.ai.get-context.hl

@@ -155,6 +155,7 @@ slots.create:magic.ai.get-context
    data.connect:[generic|magic]
 
       // Initializing ml_training_snippets.
+      sleep:10
       data.execute:"select vector_init('ml_training_snippets', 'embeddings', 'dimension=1536,type=FLOAT32,distance=cosine')"
 
 

backend/files/system/openai/magic.startup/magic.ai.search.hl

@@ -59,6 +59,7 @@ slots.create:magic.ai.search
    data.connect:[generic|magic]
 
       // Initializing ml_training_snippets.
+      sleep:10
       data.execute:"select vector_init('ml_training_snippets', 'embeddings', 'dimension=1536,type=FLOAT32,distance=cosine')"
 
 

backend/files/system/openai/magic.startup/magic.ai.vectorise.hl

@@ -196,6 +196,7 @@ select id, prompt, completion
                         data.connect:[generic|magic]
 
                            // Initializing ml_training_snippets.
+                           sleep:10
                            data.execute:"select vector_init('ml_training_snippets', 'embeddings', 'dimension=1536,type=FLOAT32,distance=cosine')"
 
                            data.execute:x:@.sql

backend/files/system/openai/vectorise-snippet.post.hl

@@ -22,6 +22,7 @@ set-value:x:@.token
 data.connect:[generic|magic]
 
    // Initializing ml_training_snippets.
+   sleep:10
    data.execute:"select vector_init('ml_training_snippets', 'embeddings', 'dimension=1536,type=FLOAT32,distance=cosine')"