1. System Core
1.1. Data index
1.1.1. what date will be indexed into Elasticsearch
1.1.2. Where is data storage
1.1.2.1. Data read/write/re-write speed
1.1.2.2. Data bandwidth & system capacity
1.2. Index frequency & priority
1.2.1. Data Updating Strategy between Magento & Elasticsearch
1.2.1.1. How long changes will be updated
1.2.1.2. Priority rule for ES to update from Magento data processing
1.2.2. Is Fully upgrade required
1.2.2.1. when ?
1.2.2.2. why?
1.3. Data management
1.3.1. ES data structure
1.3.1.1. is it optimized for speed ?
1.3.1.2. support Big data ?
1.3.1.3. where is CMS config will save ?
1.3.1.4. All result from ES is cached
1.3.1.4.1. Manual cache
1.3.1.4.2. Auto cached
1.4. Category / Product list API (using ES for display any product list)
2. CMS Funtions
2.1. BASIC
2.1.1. RAW result (all result must be combine whole key word )
2.1.1.1. Single word
2.1.1.1.1. priority by repeat frequency
2.1.1.1.2. recognized & priority by word accent
2.1.1.1.3. Priority by order appears in the sentence EX: Mì gói VS gói mì
2.1.1.1.4. word contain customer keyword EX: keyword --> MI Result: Xiao"Mi"or "Mi"goi
2.1.1.2. Multi words (2 or above)
2.1.1.2.1. result contain & matched all words (NON- INVERSION)
2.1.1.2.2. result contain & matched all words (Allow- INVERSION)
2.1.1.2.3. result contain most part of words
2.1.2. Auto suggestion
2.1.2.1. How many letter to start suggestion
2.1.2.2. Suggestion Library
2.1.2.2.1. By user defined library
2.1.2.2.2. by user search behavior trendy
2.1.2.2.3. By synonym library
2.2. Advanced
2.2.1. Result priority
2.2.1.1. By products
2.2.1.1.1. priority by Category
2.2.1.1.2. priority by Brand
2.2.1.1.3. priority by Seller
2.2.1.1.4. priority by List of boosting product
2.2.1.2. By Behavior
2.2.1.2.1. Best selling
2.2.1.2.2. Sale
2.2.1.2.3. popular product or popular keyword
2.2.1.3. Geographical Location
2.2.1.3.1. By nearest family seller
2.2.2. result internal & external linking
2.2.2.1. Link to Brand
2.2.2.2. Linked to random URL
2.3. Machine learning processing
2.3.1. tracking customer recent products and all record history
2.3.2. tracking related products
2.3.2.1. same price
2.3.2.2. same brand
2.3.2.3. same seller
2.3.2.4. same naming
2.3.2.5. combine & exclusive about condition
2.3.3. Tracking order
2.3.3.1. products usually buy together on same order
2.3.3.2. Product usually buy together on same customer
2.3.3.2.1. Gender
2.3.3.2.2. Age
2.3.3.2.3. location
2.3.3.2.4. brand
2.3.4. List of related product by manual
2.3.4.1. Marketing suggestion
2.3.4.2. MD sugesstion