frederic89 / vearch-docker

Vearch for MacOS 11.2 使用通过

vearch_docker

vearch for MacOS 11.2 使用通过

1. sh docker-init.sh

2. check cluster stats

   curl -XGET http://0.0.0.0:8817/_cluster/stats

3. now create db

   curl -v --user "root:secret" -H "content-type: application/json" -XPUT -d '{"name":"test_vector_db"}' http://0.0.0.0:8817/db/_create

4. list db

   curl -XGET http://0.0.0.0:8817/list/db

5. create space

   curl -v --user "root:secret" -H "content-type: application/json" -XPUT -d '{"name": "vector_space", "dynamic_schema": "strict", "partition_num": 1, "replica_num": 1, "engine": { "name": "gamma", "index_size": 100000, "id_type": "string", "retrieval_type": "IVFPQ", "retrieval_param": { "metric_type": "InnerProduct", "ncentroids": -1, "nsubvector": -1 } }, "properties": { "string": { "type": "keyword", "index": true }, "int": { "type": "integer", "index": true }, "float": { "type": "float", "index": true }, "vector": { "type": "vector", "model_id": "img", "dimension": 128, "format": "normalization" }, "string_tags": { "type": "string", "array": true, "index": true }, "int_tags": { "type": "integer", "array": true, "index": true }, "float_tags": { "type": "float", "array": true, "index": true } }, "models": [{ "model_id": "vgg16", "fields": ["string"], "out": "feature" }] }' http://localhost:8817/space/test_vector_db/_create

6. create document

   curl -XPUT -H "content-type: application/json" -d' { "name": "test_vector_db", "partition_num": 1, "replica_num": 1, "engine": { "name": "gamma", "index_size": 9999, "max_size": 100000, "nprobe": 10, "metric_type": "InnerProduct" }, "properties": { "imageId":{ "type":"keyword", "index":true }, "itemId":{ "type":"keyword", "index":true }, "productId":{ "type":"long", "index":true }, "skuId":{ "type":"long", "index":true }, "feature":{ "type":"vector", "model_id":"img", "dimension":256, "store_type":"RocksDB" } } } ' http://localhost:8817/space/test_vector_db/_create

7. Another test

   向量检索系统Vearch 之从零开始源码编译安装 by 知乎

   向量存储和检索解决方案--Vearch by CSDN

8. other to see Vearch Curl API Manual

Thanks to Docker Hub!