image-search

Problem: It is pretty challenging to find resource material and valuable articles, videos and such, and we spend a lot of time searching and finding the appropriate resource for us.

Proposed solution: Faceted search can come a long way when looking for a quick way to find a solution designed for our needs. Ratings on the resource can help us select the best solution based on our search

Is there an existing issue for this?

• I have searched the existing issues

Is your feature request related to a problem? Please describe.

currently, milvus use protobuf heavily in the cgo interface for data exchange between go and c code.

However, if we take a deep look into it, many of the code path is copied and converted heavily, for instance in the load path:

1. read parquet

I am finding a product which can replace Elasticsearch.

Crate:         tempdir
Version:       0.3.7
Warning:       unmaintained
Title:         `tempdir` crate has been deprecated; use `tempfile` instead
Date:          2018-02-13
ID:            RUSTSEC-2018-0017
URL:           https://rustsec.org/advisories/RUSTSEC-2018-0017
Dependency tree: 
tempdir 0.3.7
├── storage 0.2.0
│   └── qdrant 0.7.0
├── segment 0.3.1
│   ├── storage 0.2.0
│

使用的3.2.7版本，3台服务器(1个master、3个ps、3个router)，按天建表(如：db_20210601、db_20210602、db_20210603)，每张表的结构如下 ：
`{
"name": "space",
"partition_num": 3,
"replica_num": 1,
"engine": {
"name": "gamma",
"index_size": 100000,
"retrieval_type": "IVFPQ",
"retrieval_param": {
"ncentroids": 2048,
"nsubvector": 64,
"metric_type": "InnerProduct"
},
"id_type": "String"
},
"propertie

Hi, I've created a simple katacoda scenario of "how to install Milvus 2.0 Standalone with docker-compose". Here is my github link: https://github.com/jaelgu/katacoda

Can we have a Katacoda scenario for each Bootcamp solution?

1. text_search_engine
2. molecular_similarity_search
3. dna_sequence_classification
4. q&a_system

Current docker image size is insane. It is 2.55 GB. Reduce that to below 1GB or less. Apply changes from this reference: https://hackernoon.com/tips-to-reduce-docker-image-sizes-876095da3b34