docs: deepen tutorial chapters batch 3 (llamaindex through opencode)

tutorials/README.md

@@ -17,16 +17,21 @@ Use this guide to navigate all tutorial tracks, understand structure rules, and
 <<<<<<< HEAD
 | Tutorial directories | 188 |
 | Tutorial markdown files | 1705 |
-| Tutorial markdown lines | 738,367 |
+| Tutorial markdown lines | 881,469 |
 =======
 <<<<<<< HEAD
 | Tutorial directories | 188 |
 | Tutorial markdown files | 1705 |
-| Tutorial markdown lines | 738,367 |
+| Tutorial markdown lines | 881,469 |
 =======
+<<<<<<< HEAD
 | Tutorial directories | 188 |
 | Tutorial markdown files | 1705 |
-| Tutorial markdown lines | 738,367 |
+| Tutorial markdown lines | 881,469 |
+=======
+| Tutorial directories | 188 |
+| Tutorial markdown files | 1705 |
+| Tutorial markdown lines | 881,469 |
 
 ## Source Verification Snapshot
 
@@ -44,6 +49,7 @@ Repository-source verification run against tutorial index references (GitHub API
 - Script: [../scripts/verify_tutorial_sources.py](../scripts/verify_tutorial_sources.py)
 >>>>>>> origin/main
 >>>>>>> origin/main
+>>>>>>> origin/main
 
 ## Content Structure Patterns
 

tutorials/llamaindex-tutorial/01-getting-started.md

@@ -556,3 +556,48 @@ Now that you have a solid foundation in LlamaIndex, let's explore how to load da
 4. Experiment with different chunk sizes and embedding models
 
 *What kind of data would you most like to make searchable with AI?* 📚
+
+## What Problem Does This Solve?
+
+Most teams struggle here because the hard part is not writing more code, but deciding clear boundaries for `self`, `documents`, `index` so behavior stays predictable as complexity grows.
+
+In practical terms, this chapter helps you avoid three common failures:
+
+- coupling core logic too tightly to one implementation path
+- missing the handoff boundaries between setup, execution, and validation
+- shipping changes without clear rollback or observability strategy
+
+After working through this chapter, you should be able to reason about `Chapter 1: Getting Started with LlamaIndex` as an operating subsystem inside **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, with explicit contracts for inputs, state transitions, and outputs.
+
+Use the implementation notes around `llama_index`, `print`, `response` as your checklist when adapting these patterns to your own repository.
+
+## How it Works Under the Hood
+
+Under the hood, `Chapter 1: Getting Started with LlamaIndex` usually follows a repeatable control path:
+
+1. **Context bootstrap**: initialize runtime config and prerequisites for `self`.
+2. **Input normalization**: shape incoming data so `documents` receives stable contracts.
+3. **Core execution**: run the main logic branch and propagate intermediate state through `index`.
+4. **Policy and safety checks**: enforce limits, auth scopes, and failure boundaries.
+5. **Output composition**: return canonical result payloads for downstream consumers.
+6. **Operational telemetry**: emit logs/metrics needed for debugging and performance tuning.
+
+When debugging, walk this sequence in order and confirm each stage has explicit success/failure conditions.
+
+## Source Walkthrough
+
+Use the following upstream sources to verify implementation details while reading this chapter:
+
+- [View Repo](https://github.com/run-llama/llama_index)
+  Why it matters: authoritative reference on `View Repo` (github.com).
+
+Suggested trace strategy:
+- search upstream code for `self` and `documents` to map concrete implementation paths
+- compare docs claims against actual runtime/config code before reusing patterns in production
+
+## Chapter Connections
+
+- [Tutorial Index](index.md)
+- [Next Chapter: Chapter 2: Data Ingestion & Loading](02-data-ingestion.md)
+- [Main Catalog](../../README.md#-tutorial-catalog)
+- [A-Z Tutorial Directory](../../discoverability/tutorial-directory.md)

tutorials/llamaindex-tutorial/02-data-ingestion.md

@@ -7,6 +7,9 @@ nav_order: 2
 
 # Chapter 2: Data Ingestion & Loading
 
+Welcome to **Chapter 2: Data Ingestion & Loading**. In this part of **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
+
+
 > Master the art of loading diverse data sources into LlamaIndex for comprehensive RAG systems.
 
 ## 🎯 Overview
@@ -1117,4 +1120,50 @@ With data ingestion mastered, you're ready to:
 
 ---
 
-**Ready to create efficient indexes for your data? Continue to [Chapter 3: Indexing & Storage](03-indexing-storage.md)!** 🚀
+**Ready to create efficient indexes for your data? Continue to [Chapter 3: Indexing & Storage](03-indexing-storage.md)!** 🚀
+
+## What Problem Does This Solve?
+
+Most teams struggle here because the hard part is not writing more code, but deciding clear boundaries for `documents`, `text`, `print` so behavior stays predictable as complexity grows.
+
+In practical terms, this chapter helps you avoid three common failures:
+
+- coupling core logic too tightly to one implementation path
+- missing the handoff boundaries between setup, execution, and validation
+- shipping changes without clear rollback or observability strategy
+
+After working through this chapter, you should be able to reason about `Chapter 2: Data Ingestion & Loading` as an operating subsystem inside **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, with explicit contracts for inputs, state transitions, and outputs.
+
+Use the implementation notes around `metadata`, `content`, `self` as your checklist when adapting these patterns to your own repository.
+
+## How it Works Under the Hood
+
+Under the hood, `Chapter 2: Data Ingestion & Loading` usually follows a repeatable control path:
+
+1. **Context bootstrap**: initialize runtime config and prerequisites for `documents`.
+2. **Input normalization**: shape incoming data so `text` receives stable contracts.
+3. **Core execution**: run the main logic branch and propagate intermediate state through `print`.
+4. **Policy and safety checks**: enforce limits, auth scopes, and failure boundaries.
+5. **Output composition**: return canonical result payloads for downstream consumers.
+6. **Operational telemetry**: emit logs/metrics needed for debugging and performance tuning.
+
+When debugging, walk this sequence in order and confirm each stage has explicit success/failure conditions.
+
+## Source Walkthrough
+
+Use the following upstream sources to verify implementation details while reading this chapter:
+
+- [View Repo](https://github.com/run-llama/llama_index)
+  Why it matters: authoritative reference on `View Repo` (github.com).
+
+Suggested trace strategy:
+- search upstream code for `documents` and `text` to map concrete implementation paths
+- compare docs claims against actual runtime/config code before reusing patterns in production
+
+## Chapter Connections
+
+- [Tutorial Index](index.md)
+- [Previous Chapter: Chapter 1: Getting Started with LlamaIndex](01-getting-started.md)
+- [Next Chapter: Chapter 3: Indexing & Storage](03-indexing-storage.md)
+- [Main Catalog](../../README.md#-tutorial-catalog)
+- [A-Z Tutorial Directory](../../discoverability/tutorial-directory.md)

tutorials/llamaindex-tutorial/03-indexing-storage.md

@@ -7,6 +7,9 @@ nav_order: 3
 
 # Chapter 3: Indexing & Storage
 
+Welcome to **Chapter 3: Indexing & Storage**. In this part of **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
+
+
 > Master the creation of efficient indexes and storage strategies for optimal retrieval performance.
 
 ## 🎯 Overview
@@ -942,4 +945,50 @@ With indexing and storage mastered, you're ready to:
 
 ---
 
-**Ready to build powerful query engines? Continue to [Chapter 4: Query Engines & Retrieval](04-query-engines.md)!** 🚀
+**Ready to build powerful query engines? Continue to [Chapter 4: Query Engines & Retrieval](04-query-engines.md)!** 🚀
+
+## What Problem Does This Solve?
+
+Most teams struggle here because the hard part is not writing more code, but deciding clear boundaries for `index`, `documents`, `print` so behavior stays predictable as complexity grows.
+
+In practical terms, this chapter helps you avoid three common failures:
+
+- coupling core logic too tightly to one implementation path
+- missing the handoff boundaries between setup, execution, and validation
+- shipping changes without clear rollback or observability strategy
+
+After working through this chapter, you should be able to reason about `Chapter 3: Indexing & Storage` as an operating subsystem inside **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, with explicit contracts for inputs, state transitions, and outputs.
+
+Use the implementation notes around `self`, `Create`, `storage_context` as your checklist when adapting these patterns to your own repository.
+
+## How it Works Under the Hood
+
+Under the hood, `Chapter 3: Indexing & Storage` usually follows a repeatable control path:
+
+1. **Context bootstrap**: initialize runtime config and prerequisites for `index`.
+2. **Input normalization**: shape incoming data so `documents` receives stable contracts.
+3. **Core execution**: run the main logic branch and propagate intermediate state through `print`.
+4. **Policy and safety checks**: enforce limits, auth scopes, and failure boundaries.
+5. **Output composition**: return canonical result payloads for downstream consumers.
+6. **Operational telemetry**: emit logs/metrics needed for debugging and performance tuning.
+
+When debugging, walk this sequence in order and confirm each stage has explicit success/failure conditions.
+
+## Source Walkthrough
+
+Use the following upstream sources to verify implementation details while reading this chapter:
+
+- [View Repo](https://github.com/run-llama/llama_index)
+  Why it matters: authoritative reference on `View Repo` (github.com).
+
+Suggested trace strategy:
+- search upstream code for `index` and `documents` to map concrete implementation paths
+- compare docs claims against actual runtime/config code before reusing patterns in production
+
+## Chapter Connections
+
+- [Tutorial Index](index.md)
+- [Previous Chapter: Chapter 2: Data Ingestion & Loading](02-data-ingestion.md)
+- [Next Chapter: Chapter 4: Query Engines & Retrieval](04-query-engines.md)
+- [Main Catalog](../../README.md#-tutorial-catalog)
+- [A-Z Tutorial Directory](../../discoverability/tutorial-directory.md)

tutorials/llamaindex-tutorial/04-query-engines.md

@@ -7,6 +7,9 @@ nav_order: 4
 
 # Chapter 4: Query Engines & Retrieval
 
+Welcome to **Chapter 4: Query Engines & Retrieval**. In this part of **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
+
+
 > Build sophisticated query engines and retrieval systems for advanced RAG applications.
 
 ## 🎯 Overview
@@ -776,4 +779,50 @@ With query engines and retrieval mastered, you're ready to:
 
 ---
 
-**Ready to explore advanced RAG patterns? Continue to [Chapter 5: Advanced RAG Patterns](05-advanced-rag.md)!** 🚀
+**Ready to explore advanced RAG patterns? Continue to [Chapter 5: Advanced RAG Patterns](05-advanced-rag.md)!** 🚀
+
+## What Problem Does This Solve?
+
+Most teams struggle here because the hard part is not writing more code, but deciding clear boundaries for `query`, `self`, `results` so behavior stays predictable as complexity grows.
+
+In practical terms, this chapter helps you avoid three common failures:
+
+- coupling core logic too tightly to one implementation path
+- missing the handoff boundaries between setup, execution, and validation
+- shipping changes without clear rollback or observability strategy
+
+After working through this chapter, you should be able to reason about `Chapter 4: Query Engines & Retrieval` as an operating subsystem inside **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, with explicit contracts for inputs, state transitions, and outputs.
+
+Use the implementation notes around `response`, `index`, `engine` as your checklist when adapting these patterns to your own repository.
+
+## How it Works Under the Hood
+
+Under the hood, `Chapter 4: Query Engines & Retrieval` usually follows a repeatable control path:
+
+1. **Context bootstrap**: initialize runtime config and prerequisites for `query`.
+2. **Input normalization**: shape incoming data so `self` receives stable contracts.
+3. **Core execution**: run the main logic branch and propagate intermediate state through `results`.
+4. **Policy and safety checks**: enforce limits, auth scopes, and failure boundaries.
+5. **Output composition**: return canonical result payloads for downstream consumers.
+6. **Operational telemetry**: emit logs/metrics needed for debugging and performance tuning.
+
+When debugging, walk this sequence in order and confirm each stage has explicit success/failure conditions.
+
+## Source Walkthrough
+
+Use the following upstream sources to verify implementation details while reading this chapter:
+
+- [View Repo](https://github.com/run-llama/llama_index)
+  Why it matters: authoritative reference on `View Repo` (github.com).
+
+Suggested trace strategy:
+- search upstream code for `query` and `self` to map concrete implementation paths
+- compare docs claims against actual runtime/config code before reusing patterns in production
+
+## Chapter Connections
+
+- [Tutorial Index](index.md)
+- [Previous Chapter: Chapter 3: Indexing & Storage](03-indexing-storage.md)
+- [Next Chapter: Chapter 5: Advanced RAG Patterns](05-advanced-rag.md)
+- [Main Catalog](../../README.md#-tutorial-catalog)
+- [A-Z Tutorial Directory](../../discoverability/tutorial-directory.md)

tutorials/llamaindex-tutorial/05-advanced-rag.md

@@ -7,6 +7,9 @@ nav_order: 5
 
 # Chapter 5: Advanced RAG Patterns
 
+Welcome to **Chapter 5: Advanced RAG Patterns**. In this part of **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
+
+
 > Implement sophisticated RAG architectures with multi-modal data, agents, and hybrid approaches.
 
 ## 🎯 Overview
@@ -822,4 +825,50 @@ With advanced RAG patterns mastered, you're ready to:
 
 ---
 
-**Ready to build custom LlamaIndex components? Continue to [Chapter 6: Custom Components](06-custom-components.md)!** 🚀
+**Ready to build custom LlamaIndex components? Continue to [Chapter 6: Custom Components](06-custom-components.md)!** 🚀
+
+## What Problem Does This Solve?
+
+Most teams struggle here because the hard part is not writing more code, but deciding clear boundaries for `query`, `self`, `indexes` so behavior stays predictable as complexity grows.
+
+In practical terms, this chapter helps you avoid three common failures:
+
+- coupling core logic too tightly to one implementation path
+- missing the handoff boundaries between setup, execution, and validation
+- shipping changes without clear rollback or observability strategy
+
+After working through this chapter, you should be able to reason about `Chapter 5: Advanced RAG Patterns` as an operating subsystem inside **LlamaIndex Tutorial: Building Advanced RAG Systems and Data Frameworks**, with explicit contracts for inputs, state transitions, and outputs.
+
+Use the implementation notes around `response`, `strategy`, `index` as your checklist when adapting these patterns to your own repository.
+
+## How it Works Under the Hood
+
+Under the hood, `Chapter 5: Advanced RAG Patterns` usually follows a repeatable control path:
+
+1. **Context bootstrap**: initialize runtime config and prerequisites for `query`.
+2. **Input normalization**: shape incoming data so `self` receives stable contracts.
+3. **Core execution**: run the main logic branch and propagate intermediate state through `indexes`.
+4. **Policy and safety checks**: enforce limits, auth scopes, and failure boundaries.
+5. **Output composition**: return canonical result payloads for downstream consumers.
+6. **Operational telemetry**: emit logs/metrics needed for debugging and performance tuning.
+
+When debugging, walk this sequence in order and confirm each stage has explicit success/failure conditions.
+
+## Source Walkthrough
+
+Use the following upstream sources to verify implementation details while reading this chapter:
+
+- [View Repo](https://github.com/run-llama/llama_index)
+  Why it matters: authoritative reference on `View Repo` (github.com).
+
+Suggested trace strategy:
+- search upstream code for `query` and `self` to map concrete implementation paths
+- compare docs claims against actual runtime/config code before reusing patterns in production
+
+## Chapter Connections
+
+- [Tutorial Index](index.md)
+- [Previous Chapter: Chapter 4: Query Engines & Retrieval](04-query-engines.md)
+- [Next Chapter: Chapter 6: Custom Components](06-custom-components.md)
+- [Main Catalog](../../README.md#-tutorial-catalog)
+- [A-Z Tutorial Directory](../../discoverability/tutorial-directory.md)