The document outlines Azure Cognitive Search capabilities, including keyword search, geospatial support, and customizable scoring. It describes the architecture for ingesting and enriching data from various sources and highlights the use of built-in and custom cognitive skills for enhancing search functionality. Additionally, it mentions specific data formats and storage options supported by Azure services.

2. Azure Cognitive Search
Luis Beltrán
@darkicebeam
luis@luisbeltran.mx
luisbeltran.mx

3. HTML
PNG

4. management free
keyword search
faceting language analyzers
geospatial support
suggestions/auto-complete
customizable scoring
proximity search
synonyms, etc.

5. Cognitive Services capabilities
Infuse your apps, websites, and bots with human-like intelligence

6. At a high level…
INGEST
Data in any
format, any
Azure store
ENRICH EXPLORE
Annotations
Cognitive skills
Search

7. Cognitive Search Architecture
Annotated
Documents
Customer
Data
Search
Index
INGEST ENRICH EXPLORE

8. Document Cracking
• Different types of data sources
• Blob Storage
• Azure SQL
• Cosmos DB
• Azure Tables
• MySQL
• Azure Files ( private preview)
• File formats supported in
blob storage

10. Cognitive Search Architecture
Annotated
Documents
Customer
Data
Search
Index
INGEST ENRICH EXPLORE

11. Built-in skills
Cognitive skills
Azure
Databricks
Machine Learning
VMs
Azure Machine
Learning
Custom skills
Your custom
skill goes here!

12. Sample skillset
OCR (text
recognition)

13. https
Custom skill requirements
Custom
translation
skill
{
"values": [
{
"recordId": "7cad2",
"data":
{
"value1":
"I owe you 5 grand"
}
},
{
"recordId": "7cad3",
"data":
{
"value1":
"Just my 2 cents",
}
},
…
]
}
{
"values": [
{
"recordId": "7cad2",
"data":
{
"myOuput1":
"Te debo cinco mil"
}
},
{
"recordId": "7cad3",
"data":
{
"myOutput1":
"Solo mis 2 centavos"
}
},
…
]
}

14. Cognitive Search Architecture
Annotated
Documents
Customer
Data
Search
Index
INGEST ENRICH EXPLORE

21. Luis Beltrán
@darkicebeam
luis@luisbeltran.mx
luisbeltran.mx