adding huggingface text embeddings interface as docker service for co…

…nvienience

examples/huggingface-milvus-vectorstore-example/README.md

@@ -1,13 +1,21 @@
 # Milvus vector store with local embeddings via huggingface TEI.
 
 Dependencies:
-- [Text Embeddings Inference](https://github.com/huggingface/text-embeddings-inference)
-- [Ollama](https://ollama.ai/) 
+- [Text Embeddings Inference](https://github.com/huggingface/text-embeddings-inference) (optional)
 
 ```shell
-# start milvus
+# start milvus and text embeddings interface
 docker-compose up -d
 
-#start embedding server
-text-embeddings-router --model-id thenlper/gte-large --port 5500
+
 ```
+
+## For faster embeddings
+
+```shell
+# stop txt-inference container
+docker compose stop txt-inference
+
+# start embedding server
+text-embeddings-router --model-id thenlper/gte-large --port 5500
+```

examples/huggingface-milvus-vectorstore-example/docker-compose.yml

@@ -42,6 +42,15 @@ services:
       - "etcd"
       - "minio"
 
+  txt-inference:
+    platform: linux/x86_64
+    image: ghcr.io/huggingface/text-embeddings-inference:${TEI_TAG:-cpu-latest}
+    command: --model-id thenlper/gte-base
+    ports:
+      - 5500:80
+    volumes:
+      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/txt-inference:/data
+
 networks:
   default:
     name: milvus

examples/huggingface-milvus-vectorstore-example/milvus_vectorstore_example.go

@@ -22,7 +22,6 @@ func main() {
 		log.Fatalf("new: %v\n", err)
 	}
 	citiesExample(store)
-
 }
 
 func newEmbedder() (embeddings.Embedder, error) {
@@ -114,12 +113,6 @@ func citiesExample(store vectorstores.VectorStore) {
 			numDocuments: 100,
 			options: []vectorstores.Option{
 				vectorstores.WithScoreThreshold(.4),
-				// vectorstores.WithFilters(filter{
-				// 	"$and": []filter{
-				// 		{"area": filter{"$gte": 1000}},
-				// 		{"population": filter{"$gte": 13}},
-				// 	},
-				// }),
 			},
 		},
 	}