Sdk 217 automated

PR_DESCRIPTION.md

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+## Summary
+Updated `learn/generation/openai/openai-ml-qa/01-making-queries.ipynb` to use Pinecone SDK v8 and added comprehensive test coverage with edge case handling for the query_helpers module.
+
+## Changes
+
+### Notebook Updates (Previous Iteration)
+- Updated pip install command in cell 1:
+  - Changed: `pinecone==5.0.0` → `pinecone` (latest SDK v8)
+  - Removed version pin to automatically use the latest SDK v8 release
+  - Kept openai version pinned at `0.27.7`
+- Improved variable naming for better code readability:
+  - Changed: `xq` → `query_embedding` in cells 13 and 19
+  - Makes the code more self-documenting and easier to understand
+- SDK initialization patterns verified to be compliant with v8:
+  - Uses `from pinecone import Pinecone`
+  - Uses `pc = Pinecone(api_key=api_key)` for initialization
+  - Uses `pc.Index(index_name)` for index connection
+  - Uses `pc.delete_index(index_name)` for cleanup
+
+### Query Helpers Module (Current Iteration)
+- Created `query_helpers.py` with reusable utility functions for:
+  - Creating embeddings from queries
+  - Querying Pinecone for relevant contexts
+  - Building prompts with retrieved contexts
+  - Generating answers using OpenAI's completion API
+  - Complete end-to-end query and answer pipeline
+
+### Edge Case Handling
+- **Empty Pinecone results**: `query_and_answer()` now returns a graceful error message when no results are found
+- **Empty contexts**: `build_prompt()` properly handles empty context lists
+- **Long contexts**: Functions handle contexts that exceed character limits
+- **Special characters**: Proper handling of queries with special characters
+
+### Bug Fixes
+- Fixed `build_prompt()` loop logic that was preventing single contexts from being included
+- Added early return for empty contexts to avoid unnecessary processing
+
+### Test Coverage
+- Created comprehensive test suite with 24 tests covering:
+  - Embedding creation
+  - Pinecone querying
+  - Context extraction
+  - Prompt building (basic and exhaustive modes)
+  - Answer generation
+  - End-to-end pipeline
+  - Edge cases:
+    - Empty Pinecone results
+    - Very long contexts exceeding character limits
+    - Multiple contexts exceeding combined limit
+    - Missing metadata in query results
+    - Special characters in queries
+    - Whitespace handling in generated answers
+
+## Testing
+- All 24 unit tests passing
+- Test coverage includes:
+  - Happy path scenarios
+  - Edge cases and error conditions
+  - Mock-based testing for external API calls (Pinecone, OpenAI)
+  - Verification of default and custom parameters
+- Verified notebook uses modern SDK patterns (v8 compatible)
+- Confirmed initialization code follows Pinecone SDK v8 conventions
+
+## Notes
+- Addressed all reviewer feedback from previous iteration:
+  1. ✅ Fixed pytest installation issue by using project's dev dependencies
+  2. ✅ Added handling for empty Pinecone results with appropriate error message
+  3. ✅ Fixed `build_prompt` to handle empty contexts properly
+  4. ✅ Added comprehensive edge case tests including:
+     - Large/long contexts exceeding prompt character limits
+     - Empty result sets from Pinecone queries
+     - Malformed data with missing metadata
+- The notebook demonstrates RAG (Retrieval-Augmented Generation) patterns with Pinecone and OpenAI
+- All SDK method calls are consistent with v8 API
+- Query helper functions are well-documented with type hints and docstrings