Merge pull request #925 from FlowiseAI/feature/Milvus

Feature/Add filter to milvus

packages/components/nodes/vectorstores/Milvus/Milvus_Existing.ts

@@ -21,7 +21,7 @@ class Milvus_Existing_VectorStores implements INode {
     constructor() {
         this.label = 'Milvus Load Existing collection'
         this.name = 'milvusExistingCollection'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'Milvus'
         this.icon = 'milvus.svg'
         this.category = 'Vector Stores'
@@ -50,6 +50,25 @@ class Milvus_Existing_VectorStores implements INode {
                 label: 'Milvus Collection Name',
                 name: 'milvusCollection',
                 type: 'string'
+            },
+            {
+                label: 'Milvus Filter',
+                name: 'milvusFilter',
+                type: 'string',
+                optional: true,
+                description:
+                    'Filter data with a simple string query. Refer Milvus <a target="_blank" href="https://milvus.io/blog/2022-08-08-How-to-use-string-data-to-empower-your-similarity-search-applications.md#Hybrid-search">docs</a> for more details.',
+                placeholder: 'doc=="a"',
+                additionalParams: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -70,6 +89,7 @@ class Milvus_Existing_VectorStores implements INode {
         // server setup
         const address = nodeData.inputs?.milvusServerUrl as string
         const collectionName = nodeData.inputs?.milvusCollection as string
+        const milvusFilter = nodeData.inputs?.milvusFilter as string
 
         // embeddings
         const embeddings = nodeData.inputs?.embeddings as Embeddings
@@ -109,7 +129,7 @@ class Milvus_Existing_VectorStores implements INode {
                 throw new Error(`Collection not found: ${vectorStore.collectionName}, please create collection before search.`)
             }
 
-            const filterStr = filter ?? ''
+            const filterStr = milvusFilter ?? filter ?? ''
 
             await vectorStore.grabCollectionFields()