Version History

All releases and changes to SmartRAG are documented here.

Redis Vector Search & Storage Improvements

MINOR Release

This release enhances Redis vector search capabilities and removes unused storage implementations. Active storage providers (Qdrant, Redis, InMemory) remain fully functional.

✨ Added

Redis RediSearch Integration

  • Enhanced Vector Similarity Search: RediSearch module support for advanced vector search capabilities
  • Vector Index Configuration: Algorithm (HNSW), distance metric (COSINE), and dimension (default: 768) configuration
  • Files Modified:
    • src/SmartRAG/Models/RedisConfig.cs - Vector search configuration properties
    • src/SmartRAG/Repositories/RedisDocumentRepository.cs - RediSearch vector search implementation

🔧 Improved

Redis Vector Search Accuracy

  • Proper Relevance Scoring: RelevanceScore now correctly calculated and assigned for DocumentSearchService ranking
  • Similarity Calculation: Distance metrics from RediSearch properly converted to similarity scores
  • Debug Logging: Score verification logging added
  • Files Modified:
    • src/SmartRAG/Repositories/RedisDocumentRepository.cs - RelevanceScore assignment

Redis Embedding Generation

  • AI Configuration Handling: IAIConfigurationService injection for proper config retrieval
  • Graceful Fallback: Text search fallback when config unavailable
  • Files Modified:
    • src/SmartRAG/Repositories/RedisDocumentRepository.cs - AI config handling
    • src/SmartRAG/Factories/StorageFactory.cs - IAIConfigurationService injection

StorageFactory Dependency Injection

  • Scope Resolution: Fixed Singleton/Scoped lifetime mismatch using lazy resolution
  • IServiceProvider Pattern: Changed to lazy dependency resolution via IServiceProvider
  • Files Modified:
    • src/SmartRAG/Factories/StorageFactory.cs - Lazy dependency resolution
    • src/SmartRAG/Extensions/ServiceCollectionExtensions.cs - IAIProvider lifetime adjustment

🐛 Fixed

  • StorageFactory DI Scope Issue: Fixed InvalidOperationException when resolving IAIProvider
  • Redis Relevance Scoring: Fixed RelevanceScore being 0.0000 in search results
  • Redis Embedding Config: Fixed NullReferenceException when generating embeddings

🗑️ Removed

  • FileSystemDocumentRepository: Removed unused file system storage implementation
  • SqliteDocumentRepository: Removed unused SQLite storage implementation
  • StorageConfig Properties: Removed FileSystemPath and SqliteConfig (unused)

⚠️ Breaking Changes

  • FileSystem and SQLite Document Repositories Removed
    • These were unused implementations
    • Active storage providers (Qdrant, Redis, InMemory) remain fully functional
    • If you were using FileSystem or SQLite, migrate to Qdrant, Redis, or InMemory

📝 Notes

  • Redis Requirements: Vector search requires RediSearch module
    • Use redis/redis-stack-server:latest Docker image
    • Or install RediSearch module on your Redis server
    • Without RediSearch, only text search works (no vector search)

🏗️ Architectural Refactoring - Modular Design

MINOR Release

This release introduces significant architectural improvements while maintaining full backward compatibility. All existing code continues to work without changes.

Strategy Pattern Implementation

SQL Dialect Strategy
  • ISqlDialectStrategy: Interface for database-specific SQL generation
  • Dialect Implementations:
    • SqliteDialectStrategy - SQLite-optimized SQL generation
    • PostgreSqlDialectStrategy - PostgreSQL-optimized SQL generation
    • MySqlDialectStrategy - MySQL/MariaDB-optimized SQL generation
    • SqlServerDialectStrategy - SQL Server-optimized SQL generation
  • ISqlDialectStrategyFactory: Factory for creating appropriate dialect strategies
  • Benefits: Open/Closed Principle (OCP), easier to add new database support
Scoring Strategy
  • IScoringStrategy: Interface for document relevance scoring
  • HybridScoringStrategy: Combines semantic and keyword-based scoring
  • Benefits: Pluggable scoring algorithms, easier to customize search behavior
File Parser Strategy
  • IFileParser: Interface for file format parsing
  • Strategy-based parsing: Each file type has dedicated parser implementation
  • Benefits: Single Responsibility Principle (SRP), easier to add new file formats

Repository Layer Separation

Conversation Repository
  • IConversationRepository: Dedicated interface for conversation data access
  • Implementations:
    • SqliteConversationRepository - SQLite-based conversation storage
    • InMemoryConversationRepository - In-memory conversation storage
    • FileSystemConversationRepository - File-based conversation storage
    • RedisConversationRepository - Redis-based conversation storage
  • IConversationManagerService: Business logic for conversation management
  • Benefits: Separation of Concerns (SoC), Interface Segregation Principle (ISP)
Repository Cleanup
  • IDocumentRepository: Removed conversation-related methods
  • Clear separation: Documents vs Conversations
  • Benefits: Cleaner interfaces, better testability

Service Layer Refactoring

AI Service Decomposition
  • IAIConfigurationService: AI provider configuration management
  • IAIRequestExecutor: AI request execution with retry/fallback
  • IPromptBuilderService: Prompt construction and optimization
  • IAIProviderFactory: Factory for creating AI provider instances
  • Benefits: Single Responsibility Principle (SRP), better testability
Database Services
  • IQueryIntentAnalyzer: Query intent analysis and classification
  • IDatabaseQueryExecutor: Database query execution
  • IResultMerger: Multi-database result merging
  • ISQLQueryGenerator: SQL query generation with validation
  • IDatabaseConnectionManager: Database connection lifecycle management
  • IDatabaseSchemaAnalyzer: Database schema analysis and caching
Search Services
  • IEmbeddingSearchService: Embedding-based search operations
  • ISourceBuilderService: Search result source building
Parser Services
  • IAudioParserService: Audio file parsing and transcription
  • IImageParserService: Image OCR processing
  • IAudioParserFactory: Factory for audio parser creation
Support Services
  • IQueryIntentClassifierService: Query intent classification
  • ITextNormalizationService: Text normalization and cleaning

Model Consolidation

New Features: Customization Support

  • Custom SQL Dialect Strategies: Support for implementing custom database dialects and extending existing ones (SQLite, SQL Server, MySQL, PostgreSQL)
  • Custom Scoring Strategies: Support for implementing custom search relevance logic
  • Custom File Parsers: Support for implementing custom file format parsers
  • Dedicated Conversation Management: New service for managing conversation history

✨ Added

  • SearchOptions Support: Per-request search configuration with granular control
    • SearchOptions model with feature flags for database, document, audio, and image search
    • PreferredLanguage property for ISO 639-1 language code support
    • Conditional service registration based on feature flags
    • Flag-Based Document Filtering: Query string flags (-db, -d, -a, -i) for quick search type selection
    • Document Type Filtering: Automatic filtering by content type (text, audio, image)
  • Native Qdrant Text Search: Token-based filtering for improved search performance
    • Native Qdrant text search with token-based OR filtering
    • Automatic stopword filtering and token match counting
  • ClearAllAsync Methods: Efficient bulk deletion operations
    • IDocumentRepository.ClearAllAsync() - Efficient bulk delete
    • IDocumentService.ClearAllDocumentsAsync() - Clear all documents
    • IDocumentService.ClearAllEmbeddingsAsync() - Clear embeddings only
  • Tesseract On-Demand Language Data Download: Automatic language support
    • Automatic download of Tesseract language data files
    • Support for 30+ languages with ISO 639-1/639-2 code mapping
  • Currency Symbol Correction: Improved OCR accuracy for financial documents
    • Automatic correction of common OCR misreads (%, 6, t, & → currency symbols)
    • Applied to both OCR and PDF parsing
  • Parallel Batch Processing for Ollama Embeddings: Performance optimization
    • Parallel batch processing for embedding generation
    • Improved throughput for large document sets
  • Query Tokens Parameter: Pre-computed token support
    • Optional queryTokens parameter to eliminate redundant tokenization
  • FeatureToggles Model: Global feature flag configuration
    • FeatureToggles class for centralized feature management
    • SearchOptions.FromConfig() static method for easy configuration
  • ContextExpansionService: Adjacent chunk context expansion
    • Expands document chunk context by including adjacent chunks
    • Configurable context window for better AI responses
  • FileParserResult Model: Standardized parser result structure
    • Consistent parser output format with content and metadata
  • DatabaseFileParser: SQLite database file parsing support
    • Direct database file upload and parsing (.db, .sqlite, .sqlite3, .db3)
  • Native Library Inclusion: Tesseract OCR native libraries bundled
    • No manual library installation required
    • Supports Windows, macOS, and Linux
  • Nullable Reference Types: Enhanced null safety
    • Better compile-time null checking across 14+ files

Improved

  • Unicode Normalization for Qdrant: Better text retrieval across languages
  • PDF OCR Encoding Issue Detection: Automatic fallback handling
  • Numbered List Chunk Detection: Improved counting query accuracy
  • RAG Scoring Improvements: Enhanced relevance calculation with unique keyword bonus
  • Document Search Adaptive Threshold: Dynamic relevance threshold adjustment
  • Prompt Builder Rules: Enhanced AI answer generation
  • QdrantDocumentRepository GetAllAsync: Performance optimization
  • Text Processing and AI Prompt Services: General improvements
  • Image Parser Service: Comprehensive improvements

Fixed

  • Table Alias Enforcement in SQL Generation: Prevents ambiguous column errors
  • EnableDatabaseSearch Config Respect: Proper feature flag handling
  • macOS Native Libraries: OCR library inclusion and DYLD_LIBRARY_PATH configuration
  • Missing Method Signature: DocumentSearchService restoration

Changed

  • IEmbeddingSearchService Dependency Removal: Simplified architecture
  • Code Cleanup: Inline comments and unused directives removal
  • Logging Cleanup: Reduced verbose logging
  • NuGet Package Updates: Latest compatible versions
  • Service Method Annotations: Better code documentation with [AI Query], [Document Query], [DB Query] tags

🔧 Code Quality

Build Quality

  • Zero Warnings: Maintained 0 errors, 0 warnings across all projects
  • SOLID Compliance: Full adherence to SOLID principles
  • Clean Architecture: Clear separation of concerns across layers

Files Modified

  • src/SmartRAG/Interfaces/ - New interfaces for Strategy Pattern
  • src/SmartRAG/Services/ - Service layer refactoring
  • src/SmartRAG/Repositories/ - Repository separation
  • src/SmartRAG/Models/ - Model consolidation
  • src/SmartRAG/Extensions/ServiceCollectionExtensions.cs - Updated DI registrations

✨ Benefits

  • Maintainability: Cleaner, more modular codebase
  • Extensibility: Easy to add new databases, AI providers, file formats
  • Testability: Better unit testing with clear interfaces
  • Performance: Optimized SQL generation per database dialect
  • Flexibility: Pluggable strategies for scoring, parsing, SQL generation
  • Backward Compatibility: All existing code works without changes

📚 Migration Guide

No Breaking Changes

All changes are backward compatible. Existing code continues to work without modifications.

Optional Enhancements

Use New Conversation Management:

// Old approach (still works)
await _documentSearchService.QueryIntelligenceAsync(query);

// New approach (recommended for conversation tracking)
var sessionId = await _conversationManager.StartNewConversationAsync();
await _conversationManager.AddToConversationAsync(sessionId, userMessage, aiResponse);
var history = await _conversationManager.GetConversationHistoryAsync(sessionId);

Customization Examples (Optional)

Custom SQL Dialect Strategy:

// Example: Extending PostgreSQL support with custom validation
public class EnhancedPostgreSqlDialectStrategy : BaseSqlDialectStrategy
{
    public override DatabaseType DatabaseType => DatabaseType.PostgreSQL;
    
    public override string GetDialectName() => "Enhanced PostgreSQL";
    
    public override string BuildSystemPrompt(
        DatabaseSchemaInfo schema, 
        string userQuery)
    {
        // Enhanced PostgreSQL-specific SQL generation
        return $"Generate PostgreSQL SQL for: {userQuery}\\nSchema: {schema}";
    }
}

Custom Scoring Strategy:

// Example: Implementing custom scoring logic
public class CustomScoringStrategy : IScoringStrategy
{
    public double CalculateScore(DocumentChunk chunk, string query)
    {
        // Custom scoring logic
    }
}

✨ Unified Query Intelligence

Major Feature: Unified Search Across All Data Sources

  • Unified Query Intelligence: QueryIntelligenceAsync now supports unified search across databases, documents, images (OCR), and audio (transcription) in a single query
  • Smart Hybrid Routing: AI-based intent detection with confidence scoring automatically determines optimal search strategy
    • High confidence (>0.7) + database queries → Database query only
    • High confidence (>0.7) + no database queries → Document query only
    • Medium confidence (0.3-0.7) → Both database and document queries, merged results
    • Low confidence (<0.3) → Document query only (fallback)
  • QueryStrategy Enum: New enum for query execution strategies (DatabaseOnly, DocumentOnly, Hybrid)
  • New Service Architecture: Modular design with QueryIntentAnalyzer, DatabaseQueryExecutor, ResultMerger, and SQLQueryGenerator services
  • Parallel Query Execution: Multi-database queries execute in parallel for better performance
  • Intelligent Result Merging: AI-powered merging of results from multiple databases
  • Intelligent Routing: Improved query routing logic with graceful degradation and fallback mechanisms
  • Enhanced Error Handling: Better error handling for database query failures

New Services & Interfaces

  • QueryIntentAnalyzer - Analyzes user queries and determines which databases/tables to query using AI
  • DatabaseQueryExecutor - Executes queries across multiple databases in parallel
  • ResultMerger - Merges results from multiple databases into coherent responses using AI
  • SQLQueryGenerator - Generates optimized SQL queries for each database based on query intent

New Models

  • AudioSegmentMetadata - Metadata model for audio transcription segments with timestamps and confidence scores

Enhanced Models

  • SearchSource - Enhanced with source type differentiation (Database, Document, Image, Audio)

🔧 Code Quality & AI Prompt Optimization

Code Quality Improvements

  • Build Quality: Achieved 0 errors, 0 warnings across all projects
  • Code Standards: Full compliance with project coding standards

AI Prompt Optimization

  • Emoji Reduction: Reduced emoji usage in AI prompts from 235 to 5 (only critical: 🚨, ✓, ✗)
  • Token Efficiency: Improved token efficiency (~100 tokens saved per prompt)
  • Strategic Usage: Better AI comprehension through strategic emoji usage

Files Modified

  • src/SmartRAG/Services/SQLQueryGenerator.cs - Emoji optimization in AI prompts
  • src/SmartRAG/Services/MultiDatabaseQueryCoordinator.cs - Emoji optimization
  • src/SmartRAG/Services/QueryIntentAnalyzer.cs - Emoji optimization
  • src/SmartRAG/Services/DocumentSearchService.cs - Emoji optimization

✨ Benefits

  • Cleaner Codebase: Zero warnings across all projects
  • Better Performance: More efficient AI prompt processing
  • Improved Maintainability: Better code quality and standards compliance
  • Cost Efficiency: Reduced token usage in AI prompts

🎯 Package Optimization - Native Libraries

Package Size Reduction

  • Native Libraries Excluded: Whisper.net.Runtime native libraries (ggml-.dll, libggml-.so, libggml-*.dylib) are no longer included in SmartRAG NuGet package
  • Tessdata Excluded: tessdata/eng.traineddata file is no longer included in SmartRAG NuGet package
  • Reduced Package Size: Significantly smaller NuGet package footprint
  • Cleaner Output: No unnecessary native library files in project output directory

Files Modified

  • src/SmartRAG/SmartRAG.csproj - Added PrivateAssets="All" to Whisper.net.Runtime package reference
  • src/SmartRAG/SmartRAG.csproj - Added Pack="false" to tessdata/eng.traineddata content file

✨ Benefits

  • Smaller Package Size: Reduced NuGet package size by excluding native libraries
  • Cleaner Projects: No unnecessary native library files in project output
  • Better Dependency Management: Native libraries come from their respective packages (Whisper.net.Runtime, Tesseract)
  • Consistent Behavior: Matches behavior when directly referencing Whisper.net.Runtime package

📚 Migration Guide

If you’re using OCR or Audio Transcription features:

For Audio Transcription (Whisper.net):

  1. Add Whisper.net.Runtime package to your project:
    <PackageReference Include="Whisper.net.Runtime" Version="1.8.1" />
    
  2. Native libraries will be automatically included from Whisper.net.Runtime package
  3. No other changes required

For OCR (Tesseract):

  1. Add Tesseract package to your project:
    <PackageReference Include="Tesseract" Version="5.2.0" />
    
  2. Tesseract package includes tessdata files automatically
  3. No other changes required

Note: If you’re not using OCR or Audio Transcription features, no action is required. The packages are still downloaded as dependencies, but native libraries won’t be included unless you explicitly reference the packages.


🚀 BREAKING CHANGES - Google Speech-to-Text Removal

Audio Processing Changes

  • Google Speech-to-Text Removed: Complete removal of Google Cloud Speech-to-Text integration
  • Whisper.net Only: Audio transcription now exclusively uses Whisper.net for 100% local processing
  • Data Privacy: All audio processing is now completely local, ensuring GDPR/KVKK/HIPAA compliance
  • Simplified Configuration: Removed GoogleSpeechConfig and related configuration options

Files Removed

  • src/SmartRAG/Services/GoogleAudioParserService.cs - Google Speech-to-Text service
  • src/SmartRAG/Models/GoogleSpeechConfig.cs - Google Speech configuration model

Files Modified

  • src/SmartRAG/SmartRAG.csproj - Removed Google.Cloud.Speech.V1 NuGet package
  • src/SmartRAG/Extensions/ServiceCollectionExtensions.cs - Removed Google service registration
  • src/SmartRAG/Factories/AudioParserFactory.cs - Simplified to Whisper.net only
  • src/SmartRAG/Models/SmartRagOptions.cs - Removed GoogleSpeechConfig property
  • src/SmartRAG/Enums/AudioProvider.cs - Removed GoogleCloud enum value
  • src/SmartRAG/Services/ServiceLogMessages.cs - Updated log messages for Whisper.net

✨ Benefits

  • 100% Local Processing: All audio transcription happens locally with Whisper.net
  • Enhanced Privacy: No data leaves your infrastructure
  • Simplified Setup: No Google Cloud credentials required
  • Cost Effective: No per-minute transcription costs
  • Multi-Language: 99+ languages supported with automatic detection

🔧 Technical Details

  • Whisper.net Integration: Uses OpenAI’s Whisper model via Whisper.net bindings
  • Model Options: Tiny (75MB), Base (142MB), Medium (1.5GB), Large-v3 (2.9GB)
  • Hardware Acceleration: CPU, CUDA, CoreML, OpenVino support
  • Auto-Download: Models automatically download on first use
  • Format Support: MP3, WAV, M4A, AAC, OGG, FLAC, WMA

📚 Migration Guide

If you were using Google Speech-to-Text:

  1. Remove any GoogleSpeechConfig from your configuration
  2. Ensure WhisperConfig is properly configured
  3. Update any custom audio processing code to use Whisper.net
  4. Test audio transcription with local Whisper.net models

🐛 Fixed

  • LoggerMessage Parameter Mismatch: Fixed LogAudioServiceInitialized LoggerMessage definition with missing configPath parameter
  • EventId Conflicts: Resolved duplicate EventId assignments in ServiceLogMessages.cs (6006, 6008, 6009)
  • Logo Display Issue: Removed broken logo references from README files that were causing display issues on NuGet
  • TypeInitializationException: Fixed critical startup error

🔧 Technical Improvements

  • ServiceLogMessages.cs: Updated LoggerMessage definitions to match parameter counts correctly
  • EventId Management: Reassigned conflicting EventIds to ensure unique logging identifiers

BREAKING CHANGES

This release includes breaking API changes. See migration guide below.

🚀 Intelligence Library Revolution

Major API Changes

  • GenerateRagAnswerAsyncQueryIntelligenceAsync: Method renamed to better represent intelligent query processing
  • Enhanced IDocumentSearchService interface: New intelligent query processing with advanced RAG pipeline
  • Service layer improvements: Advanced semantic search and conversation management
  • Backward compatibility maintained: Legacy methods marked as deprecated (will be removed in v4.0.0)

🔧 SQL Generation & Multi-Language Support

Language-Safe SQL Generation

  • Automatic validation: Detection and prevention of non-English text in SQL queries
  • Enhanced SQL validation: Strict validation preventing Turkish/German/Russian characters in SQL
  • Multi-language query support: AI handles queries in any language while generating pure English SQL
  • Character validation: Detects non-English characters (Turkish: ç, ğ, ı, ö, ş, ü; German: ä, ö, ü, ß; Russian: Cyrillic)
  • Keyword validation: Prevents non-English keywords in SQL (sorgu, abfrage, запрос)
  • Improved error messages: Better diagnostics with database type information

PostgreSQL Full Support

  • Complete integration: Full PostgreSQL support with live connections
  • Schema analysis: Intelligent schema extraction and relationship mapping
  • Multi-database queries: Cross-database query coordination with PostgreSQL
  • Production ready: Comprehensive testing and validation

🔒 On-Premise & Local AI Support

Complete Local Operation

  • Local AI models: Full support for Ollama, LM Studio, and OpenAI-compatible local APIs
  • Document processing: PDF, Word, Excel parsing - completely local
  • OCR processing: Tesseract 5.2.0 - completely local, no data sent to cloud
  • Database integration: SQLite, SQL Server, MySQL, PostgreSQL - all local
  • Storage options: In-Memory, SQLite, FileSystem, Redis - all local
  • Complete privacy: Your data stays on your infrastructure

Enterprise Compliance

  • GDPR compliant: Keep all data within your infrastructure
  • KVKK compliant: Turkish data protection law compliance
  • Air-gapped systems: Works without internet (except audio transcription)
  • Financial institutions: Bank-grade security with local deployment
  • Healthcare: HIPAA-compliant deployments possible
  • Government: Classified data handling with local models

⚠️ Important Limitations

Audio Files

  • Google Speech-to-Text: Audio transcription uses Google Cloud AI for enterprise-grade speech recognition
  • Whisper.net: Local audio transcription option for privacy-sensitive deployments
  • Data privacy: Whisper.net processes audio locally, Google Speech-to-Text sends to cloud
  • Multi-language: Both providers support 99+ languages with automatic detection
  • Other formats: All other file types remain completely local

OCR (Image to Text)

  • Handwriting limitation: Tesseract OCR cannot fully support handwritten text (low success rate)
  • Works perfectly: Printed documents, scanned printed documents, digital screenshots
  • Limited support: Handwritten notes, forms, cursive writing (very low accuracy)
  • Best results: High-quality scans of printed documents
  • 100+ languages: View all supported languages

✨ Added

  • Local AI setup examples: Configuration for Ollama and LM Studio
  • Enterprise use cases: Banking, Healthcare, Legal, Government, Manufacturing

🔧 Improved

  • Retry mechanism: Enhanced retry prompts with language-specific instructions
  • Error handling: Better error messages with database type information
  • Code quality: SOLID/DRY principles maintained
  • Performance: Optimized multi-database query coordination

✅ Quality Assurance

  • Zero Warnings Policy: Maintained 0 errors, 0 warnings standard
  • SOLID Principles: Clean code architecture
  • Comprehensive Testing: Multi-database test coverage with PostgreSQL
  • Security hardening: Enhanced credential protection
  • Performance optimization: High performance across all features

🔄 Migration Guide (v2.3.0 → v3.0.0)

Service Layer Method Changes

OLD (v2.3.0):

await _documentSearchService.GenerateRagAnswerAsync(query, maxResults);

NEW (v3.0.0):

await _documentSearchService.QueryIntelligenceAsync(query, maxResults);

Backward Compatibility

  • Legacy methods are deprecated but still work (removed in v4.0.0)
  • Update methods at your own pace
  • No immediate breaking changes with old methods

🐛 Bug Fixes

  • LoggerMessage Parameter Mismatch: Fixed ServiceLogMessages.LogAudioServiceInitialized parameter mismatch
  • Format String Correction: Corrected format string to prevent System.ArgumentException
  • Logging Stability: Improved logging for Google Speech-to-Text initialization

🔧 Technical Improvements

  • Logging Infrastructure: Enhanced reliability
  • Zero Warnings Policy: Compliance maintained
  • Test Coverage: All tests passing (8/8)

✨ Added

  • Google Speech-to-Text Integration: Enterprise-grade speech recognition
  • Enhanced Language Support: 100+ languages including Turkish, English, global languages
  • Real-time Audio Processing: Advanced speech-to-text with confidence scoring
  • Detailed Transcription Results: Segment-level transcription with timestamps
  • Automatic Format Detection: MP3, WAV, M4A, AAC, OGG, FLAC, WMA support
  • Intelligent Audio Processing: Smart audio validation and error handling
  • Performance Optimized: Efficient processing with minimal memory footprint
  • Structured Audio Output: Searchable, queryable knowledge base
  • Comprehensive XML Documentation: Complete API documentation

🔧 Improved

  • Audio Processing Pipeline: Enhanced with Google Cloud AI
  • Configuration Management: Updated to use GoogleSpeechConfig
  • Error Handling: Enhanced for audio transcription

✨ Added

  • Use Case Examples: Scanned documents, receipts, image content

🔧 Improved

  • Package Metadata: Updated project URLs and release notes

✨ Added

  • Automatic Session Management: No manual session ID handling
  • Persistent Conversation History: Conversations survive restarts
  • New Conversation Commands: /new, /reset, /clear
  • Enhanced API: Backward-compatible with optional startNewConversation
  • Storage Integration: Works with Redis, SQLite, FileSystem, InMemory

🔧 Improved

  • Format Consistency: Standardized across storage providers
  • Thread Safety: Enhanced concurrent access handling
  • Platform Agnostic: Compatible across .NET environments

BREAKING CHANGE

Migrated from .NET 9.0 to .NET Standard 2.1

🔄 .NET Standard Migration

  • Target Framework: Migrated from .NET 9.0 to .NET Standard 2.1
  • Framework Compatibility: Now supports .NET Framework 4.6.1+, .NET Core 2.0+, .NET 5+
  • Maximum Reach: Enhanced compatibility with legacy and enterprise environments

✨ Added

  • Cross-Platform Support: .NET Standard 2.1 target frameworks
  • Legacy Framework Support: Full .NET Framework compatibility
  • Enterprise Integration: Seamless integration with existing enterprise solutions

🔧 Improved

  • Language Compatibility: C# 7.3 syntax for .NET Standard 2.1
  • Package Versions: Updated to .NET Standard compatible versions
  • API Compatibility: Maintained functionality while ensuring framework compatibility

🧪 Testing

  • Framework Compatibility: Verified .NET Standard 2.1 compatibility
  • Backward Compatibility: All functionality remains intact
  • Package Compatibility: Tested all NuGet packages

🔒 Security

  • Zero Warnings: Maintained strict code quality
  • SOLID Principles: Preserved enterprise-grade architecture
  • Package Security: Updated packages for security vulnerabilities

✨ Added

  • Excel Document Support: Comprehensive Excel parsing (.xlsx, .xls)
  • EPPlus 8.1.0 Integration: Modern Excel library with non-commercial license
  • Worksheet Parsing: Intelligent parsing with tab-separated data preservation
  • Enhanced Content Validation: Excel-specific fallback handling
  • Anthropic API Reliability: Enhanced retry for HTTP 529 (Overloaded) errors

🔧 Improved

  • API Error Handling: Better retry logic for rate limiting
  • Content Processing: More robust document parsing
  • Performance: Optimized Excel extraction and validation

🧪 Testing

  • Excel Parsing: Verified with various Excel formats
  • API Retry: Tested retry mechanism
  • Backward Compatibility: All functionality remains intact

🔒 Security

  • License Compliance: Proper EPPlus non-commercial license
  • Zero Warnings: Maintained code quality standards

🔧 Fixed

  • LoggerMessage parameter count mismatches
  • Provider logging message implementations
  • Service collection registration issues

📦 Package Release

Release Notes

  • Version Update: Package version updated to 1.0.2
  • Package Metadata: Updated release notes with v1.0.2 features

🔧 Improved

  • Smart Query Intent Detection: Enhanced query routing between chat and document search
  • Language-Agnostic Design: Removed all hardcoded language patterns for global compatibility
  • Enhanced Search Relevance: Improved name detection and content scoring algorithms
  • Unicode Normalization: Fixed special character handling issues (e.g., Turkish characters)
  • Rate Limiting & Retry Logic: Robust API handling with exponential backoff
  • VoyageAI Integration: Optimized Anthropic embedding support

🚀 Initial Release

Features

  • High-Performance RAG: Multi-provider AI support implementation
  • 5 AI Providers: OpenAI, Anthropic, Gemini, Azure OpenAI, Custom
  • 5 Storage Backends: Qdrant, Redis, SQLite, FileSystem, InMemory
  • Document Formats: PDF, Word, Text with intelligent parsing
  • Enterprise Architecture: Dependency injection and clean architecture
  • CI/CD Pipeline: Complete GitHub Actions workflow
  • Security: CodeQL analysis and Codecov coverage reporting
  • NuGet Package: Professional package with modern metadata


Version History

Version Date Highlights
3.1.0 2025-11-11 Unified Query Intelligence, Smart Hybrid Routing, New Service Architecture
3.0.3 2025-11-06 Package Optimization - Native Libraries Excluded
3.0.0 2025-10-22 Intelligence Library Revolution, SQL Generation, On-Premise Support, PostgreSQL
2.3.1 2025-10-08 Bug fixes, Logging stability improvements
2.3.0 2025-09-16 Google Speech-to-Text integration, Audio processing
2.2.0 2025-09-15 OCR feature improvements
2.1.0 2025-09-05 Automatic session management, Persistent conversation history
2.0.0 2025-08-27 .NET Standard 2.1 migration
1.1.0 2025-08-22 Excel support, EPPlus integration
1.0.3 2025-08-20 Bug fixes and logging improvements
1.0.2 2025-08-19 Initial stable release
1.0.1 2025-08-17 Beta release
1.0.0 2025-08-15 Initial release