semantic-kernel/FEATURE_MATRIX.md

Semantic Kernel Feature Matrix by Language

Legend

✅ - Feature implemented
🔄 - Feature partially implemented (see associated Note column)
❌ - Feature not implemented

AI Services

	C#	Python	Java	Notes
Text Generation	✅	✅	✅	Example: text-davinci-003
Text Embeddings	✅	✅	✅	Example: text-embeddings-ada-002
Chat Completion	✅	✅	❌	Example: GPT-4, GPT-3.5-turbo
Image Generation	✅	❌	❌	Example: Dall-E 2

AI Service Endpoints

	C#	Python	Java	Notes
OpenAI	✅	✅	✅
Azure OpenAI	✅	✅	✅
Hugging Face Inference API	🔄	❌	❌	Coming soon to Python, not all scenarios are covered for .NET
Hugging Face Local	❌	✅	❌
Custom	✅	🔄	❌	Requires to define the service schema in the application

Tokenizers

	C#	Python	Java	Notes
GPT2	✅	✅	✅
GPT3	✅	❌	❌
tiktoken	❌	❌	❌	Coming soon. Can be added manually to Python via pip install tiktoken

Core Skills

	C#	Python	Java	Notes
TextMemory Skill	✅	✅	🔄
ConversationSummary Skill	✅	✅	❌
FileIO Skill	✅	✅	❌
Http Skill	✅	✅	❌
Math Skill	✅	✅	❌
Text Skill	✅	✅	🔄
Time Skill	✅	✅	🔄
Wait Skill	✅	❌	❌

Planning

	C#	Python	Java	Notes
Plan	✅	🔄	❌	Plan object model to be completed
BasicPlanner	❌	✅	❌
ActionPlanner	✅	❌	❌
SequentialPlanner	✅	❌	❌

Memory Connectors, Vector storage

	C#	Python	Java	Notes
Azure Search	✅	🔄	❌	Azure Cognitive Search under development, currently in private preview
Qdrant	✅	❌	❌
Pinecone	✅	❌	❌
Weaviate	✅	✅	❌	Currently supported on Python 3.9-3.11, 3.8 coming soon
ChromaDb	❌	✅	❌
Milvus	❌	❌	❌	Coming soon
Sqlite	✅	❌	❌	Vector optimization requires sqlite-vss
Postgres	✅	❌	❌	Vector optimization requires pgvector
CosmosDB	✅	❌	❌	CosmosDB is not optimized for vector storage
Redis	✅	❌	❌	Vector optimization requires RediSearch

Connectors and Skill Libraries

	C#	Python	Java	Notes
MsGraph	✅	❌	❌	Contains connectors for OneDrive, Outlook, ToDos, and Organization Hierarchies
Document and Data Loading Skills	✅	❌	❌	Pdf, csv, docx, pptx. Currently only supports Word documents
OpenAPI	✅	❌	❌
Web Search Skills (i.e. Bing, Google)	✅	❌	❌
Text Chunkers	🔄	🔄	❌

Design Choices

The overall architecture of the core kernel is consistent across all languages, however, the code follows common paradigms and style of each language.

During the initial development phase, many Python best practices have been ignored in the interest of velocity and feature parity. The project is now going through a refactoring exercise to increase code quality.

To make the SDK as lightweight as possible, the core packages have a minimal set of external dependencies.