Curriculum Completion Validation
Ep 1 — Unlocking Knowledge for Agents: solution verification
Ep 1 — fork URL
https://github.com/sutirtha-bagchi-21/foundry-iq-series/blob/main/1-Foundry-IQ-Unlocking-Knowledge-for-Agents/cookbook/foundry-iq-cookbook.ipynb
Ep 1 — final output screenshot
Ep 2 — Building the Data Pipeline with Knowledge Sources: solution verification
Ep 2 — fork URL
https://github.com/sutirtha-bagchi-21/foundry-iq-series/blob/main/2-Foundry-IQ-Building-the-Data-Pipeline-with-Knowledge-Sources/cookbook/foundry-iq-cookbook.ipynb
Ep 2 — final output screenshot
Ep 3 — Querying the Multi-Source AI Knowledge Bases: solution verification
Ep 3 — fork URL
https://github.com/sutirtha-bagchi-21/foundry-iq-series/blob/main/3-Foundry-IQ-Querying-the-Multi-Source-AI-Knowledge-Bases/cookbook/foundry-iq-cookbook.ipynb
Ep 3 — final output screenshot
Episode Insights & Key Takeaways
EP1: This episode gave me good understanding of the components that are required to be deployed to use the knowledge base and how to connect the agents and MCP servers with Foundry IQ
EP2: This episode gave me good understanding of the knowledge source and how it helps to refer to source of data and without have to migrate the data it can be referenced and the aha moment was to understand how different data sources can be used together to convert fragmented system into a consolidated one.
EP3: This episodes helps to understand how different query mechanism can be used to generate detailed information and in which scenario which method can be useful
Challenges or feedback
No response
Badge form confirmation
Curriculum Completion Validation
Ep 1 — Unlocking Knowledge for Agents: solution verification
Ep 1 — fork URL
https://github.com/sutirtha-bagchi-21/foundry-iq-series/blob/main/1-Foundry-IQ-Unlocking-Knowledge-for-Agents/cookbook/foundry-iq-cookbook.ipynb
Ep 1 — final output screenshot
Ep 2 — Building the Data Pipeline with Knowledge Sources: solution verification
Ep 2 — fork URL
https://github.com/sutirtha-bagchi-21/foundry-iq-series/blob/main/2-Foundry-IQ-Building-the-Data-Pipeline-with-Knowledge-Sources/cookbook/foundry-iq-cookbook.ipynb
Ep 2 — final output screenshot
Ep 3 — Querying the Multi-Source AI Knowledge Bases: solution verification
Ep 3 — fork URL
https://github.com/sutirtha-bagchi-21/foundry-iq-series/blob/main/3-Foundry-IQ-Querying-the-Multi-Source-AI-Knowledge-Bases/cookbook/foundry-iq-cookbook.ipynb
Ep 3 — final output screenshot
Episode Insights & Key Takeaways
EP1: This episode gave me good understanding of the components that are required to be deployed to use the knowledge base and how to connect the agents and MCP servers with Foundry IQ
EP2: This episode gave me good understanding of the knowledge source and how it helps to refer to source of data and without have to migrate the data it can be referenced and the aha moment was to understand how different data sources can be used together to convert fragmented system into a consolidated one.
EP3: This episodes helps to understand how different query mechanism can be used to generate detailed information and in which scenario which method can be useful
Challenges or feedback
No response
Badge form confirmation