**chore(docs): improve code formatting and readability in README.md**

- Reformatted code examples for consistency in spacing and alignment:
  - Adjusted indentation

README.md

@@ -27,7 +27,8 @@ it gets - learning from your data to provide increasingly relevant results and c
 
 - **Run Everywhere** - Works in browsers, Node.js, serverless functions, and containers
 - **Vector Search** - Find semantically similar content using embeddings
-- **Advanced JSON Document Search** - Search within specific fields of JSON documents with field prioritization and service-based field standardization
+- **Advanced JSON Document Search** - Search within specific fields of JSON documents with field prioritization and
+  service-based field standardization
 - **Graph Relationships** - Connect data with meaningful relationships
 - **Streaming Pipeline** - Process data in real-time as it flows through the system
 - **Extensible Augmentations** - Customize and extend functionality with pluggable components
@@ -434,6 +435,7 @@ const verbTypeMap = getVerbTypeMap() // { RelatedTo: 'relatedTo', Contains: 'con
 ```
 
 These utility functions make it easy to:
+
 - Get a complete list of available noun and verb types
 - Validate user input against valid types
 - Create dynamic UI components that display or select from available types
@@ -534,7 +536,9 @@ const restoreResult = await db.restore(backupData, {clearExisting: true})
 
 ### Database Statistics
 
-Brainy provides a way to get statistics about the current state of the database. For detailed information about the statistics system, including implementation details, scalability improvements, and usage examples, see our [Statistics Guide](STATISTICS.md).
+Brainy provides a way to get statistics about the current state of the database. For detailed information about the
+statistics system, including implementation details, scalability improvements, and usage examples, see
+our [Statistics Guide](STATISTICS.md).
 
 ```typescript
 import { BrainyData, getStatistics } from '@soulcraft/brainy'
@@ -608,7 +612,8 @@ const authorResults = await db.searchByStandardField("author", "johndoe", 10, {
 
 ### Field Standardization and Service Tracking
 
-Brainy automatically tracks field names from JSON documents and associates them with the service that inserted the data. This enables powerful cross-service search capabilities:
+Brainy automatically tracks field names from JSON documents and associates them with the service that inserted the data.
+This enables powerful cross-service search capabilities:
 
 ```typescript
 // Get all available field names organized by service
@@ -698,8 +703,10 @@ db.setReadOnly(false)
 db.setWriteOnly(false)
 ```
 
-- **Read-Only Mode**: When enabled, prevents all write operations (add, update, delete). Useful for deployment scenarios where you want to prevent modifications to the database.
+- **Read-Only Mode**: When enabled, prevents all write operations (add, update, delete). Useful for deployment scenarios
-- **Write-Only Mode**: When enabled, prevents all search operations. Useful for initial data loading or when you want to optimize for write performance.
+  where you want to prevent modifications to the database.
+- **Write-Only Mode**: When enabled, prevents all search operations. Useful for initial data loading or when you want to
+  optimize for write performance.
 
 ### Embedding
 
@@ -1410,7 +1417,9 @@ terabyte-scale data that can't fit entirely in memory, we provide several approa
 - **Distributed HNSW**: Sharding and partitioning across multiple machines
 - **Hybrid Solutions**: Combining quantization techniques with multi-tier architectures
 
-For detailed information on how to scale Brainy for large datasets, vector dimension standardization, threading implementation, storage testing, and other technical topics, see our comprehensive [Technical Guides](TECHNICAL_GUIDES.md).
+For detailed information on how to scale Brainy for large datasets, vector dimension standardization, threading
+implementation, storage testing, and other technical topics, see our
+comprehensive [Technical Guides](TECHNICAL_GUIDES.md).
 
 ## Recent Changes and Performance Improvements
 
@@ -1418,7 +1427,9 @@ For detailed information on how to scale Brainy for large datasets, vector dimen
 
 Brainy has been significantly improved to handle larger datasets more efficiently:
 
-- **Pagination Support**: All data retrieval methods now support pagination to avoid loading entire datasets into memory at once. The deprecated `getAllNouns()` and `getAllVerbs()` methods have been replaced with `getNouns()` and `getVerbs()` methods that support pagination, filtering, and cursor-based navigation.
+- **Pagination Support**: All data retrieval methods now support pagination to avoid loading entire datasets into memory
+  at once. The deprecated `getAllNouns()` and `getAllVerbs()` methods have been replaced with `getNouns()` and
+  `getVerbs()` methods that support pagination, filtering, and cursor-based navigation.
 
 - **Multi-level Caching**: A sophisticated three-level caching strategy has been implemented:
     - **Level 1**: Hot cache (most accessed nodes) - RAM (automatically detecting and adjusting in each environment)
@@ -1429,13 +1440,16 @@ Brainy has been significantly improved to handle larger datasets more efficientl
     - In Node.js: Uses 10% of free memory (minimum 1000 entries)
     - In browsers: Scales based on device memory (500 entries per GB, minimum 1000)
 
-- **Intelligent Cache Eviction**: Implements a Least Recently Used (LRU) policy that evicts the oldest 20% of items when the cache reaches the configured threshold.
+- **Intelligent Cache Eviction**: Implements a Least Recently Used (LRU) policy that evicts the oldest 20% of items when
+  the cache reaches the configured threshold.
 
-- **Prefetching Strategy**: Implements batch prefetching to improve performance while avoiding overwhelming system resources.
+- **Prefetching Strategy**: Implements batch prefetching to improve performance while avoiding overwhelming system
+  resources.
 
 ### S3-Compatible Storage Improvements
 
-- **Enhanced Cloud Storage**: Improved support for S3-compatible storage services including AWS S3, Cloudflare R2, and others.
+- **Enhanced Cloud Storage**: Improved support for S3-compatible storage services including AWS S3, Cloudflare R2, and
+  others.
 
 - **Optimized Data Access**: Batch operations and error handling for efficient cloud storage access.
 
@@ -1445,9 +1459,11 @@ Brainy has been significantly improved to handle larger datasets more efficientl
 
 Yes, you can use existing data indexed from an old version. Brainy includes robust data migration capabilities:
 
-- **Vector Regeneration**: If vectors are missing in imported data, they will be automatically created using the embedding function.
+- **Vector Regeneration**: If vectors are missing in imported data, they will be automatically created using the
+  embedding function.
 
-- **HNSW Index Reconstruction**: The system can reconstruct the HNSW index from backup data, ensuring compatibility with previous versions.
+- **HNSW Index Reconstruction**: The system can reconstruct the HNSW index from backup data, ensuring compatibility with
+  previous versions.
 
 - **Sparse Data Import**: Support for importing sparse data (without vectors) through the `importSparseData()` method.
 
@@ -1487,7 +1503,8 @@ Read-only mode prevents all write operations (add, update, delete) and is optimi
 
 #### Write-Only Mode
 
-Write-only mode prevents all search operations and is optimized for initial data loading or when you want to optimize for write performance.
+Write-only mode prevents all search operations and is optimized for initial data loading or when you want to optimize
+for write performance.
 
 - **Memory**:
     - Minimum: 512MB RAM
@@ -1503,7 +1520,9 @@ Write-only mode prevents all search operations and is optimized for initial data
 
 ### Performance Tuning Parameters
 
-Brainy offers comprehensive configuration options for performance tuning, with enhanced support for large datasets in S3 or other remote storage. **All configuration is optional** - the system automatically detects the optimal settings based on your environment, dataset size, and usage patterns.
+Brainy offers comprehensive configuration options for performance tuning, with enhanced support for large datasets in S3
+or other remote storage. **All configuration is optional** - the system automatically detects the optimal settings based
+on your environment, dataset size, and usage patterns.
 
 #### Intelligent Defaults
 
@@ -1577,11 +1596,13 @@ const brainy = new BrainyData({
 });
 ```
 
-These configuration options make Brainy more efficient, scalable, and adaptable to different environments and usage patterns, especially for large datasets in cloud storage.
+These configuration options make Brainy more efficient, scalable, and adaptable to different environments and usage
+patterns, especially for large datasets in cloud storage.
 
 ## Testing
 
-Brainy uses Vitest for testing. For detailed information about testing in Brainy, including test configuration, scripts, reporting tools, and best practices, see our [Testing Guide](TESTING.md).
+Brainy uses Vitest for testing. For detailed information about testing in Brainy, including test configuration, scripts,
+reporting tools, and best practices, see our [Testing Guide](TESTING.md).
 
 Here are some common test commands:
 
@@ -1605,45 +1626,18 @@ see [DEVELOPERS.md](DEVELOPERS.md).
 
 We have a [Code of Conduct](CODE_OF_CONDUCT.md) that all contributors are expected to follow.
 
-## Release Workflow
-
-Brainy uses a streamlined release workflow that automates version updates, changelog generation, GitHub releases, and NPM deployment.
-
-### Automated Release Process
-
-The release workflow combines several steps into a single command:
-
-1. **Build the project** - Ensures the code compiles correctly
-2. **Run tests** - Verifies that all tests pass
-3. **Update version** - Bumps the version number (patch, minor, or major)
-4. **Generate changelog** - Automatically updates CHANGELOG.md with commit messages since the last release
-5. **Create GitHub release** - Creates a GitHub release with auto-generated notes
-6. **Publish to NPM** - Deploys the package to NPM
-
-### Release Commands
-
-Use one of the following commands to release a new version:
-
-```bash
-# Release with patch version update (0.0.x)
-npm run workflow:patch
-
-# Release with minor version update (0.x.0)
-npm run workflow:minor
-
-# Release with major version update (x.0.0)
-npm run workflow:major
-
-# Default workflow (same as patch)
-npm run workflow
-
-# Dry run (build, test, and simulate version update without making changes)
-npm run workflow:dry-run
-```
-
 ### Commit Message Format
 
-For best results with automatic changelog generation, follow the [Conventional Commits](https://www.conventionalcommits.org/) specification for your commit messages:
+For best results with automatic changelog generation, follow
+the [Conventional Commits](https://www.conventionalcommits.org/) specification for your commit messages:
+
+```
+AI Template for automated commit messages:
+
+Use Conventional Commit format
+Specify the changes in a structured format
+Add information about the purpose of the commit
+```
 
 ```
 <type>(<scope>): <description>
@@ -1654,6 +1648,7 @@ For best results with automatic changelog generation, follow the [Conventional C
 ```
 
 Where `<type>` is one of:
+
 - `feat`: A new feature (maps to **Added** section)
 - `fix`: A bug fix (maps to **Fixed** section)
 - `chore`: Regular maintenance tasks (maps to **Changed** section)