Semantic Kernel Insights

What is Semantic Kernel?

Semantic Kernel (SK) is an open-source SDK that allows you to easily combine AI services like OpenAI and Azure OpenAI with conventional programming languages like C# and Python. It provides a way to build intelligent applications by orchestrating prompts, chaining functions, and leveraging planners to create complex AI workflows. It is commonly used to create AI-powered assistants, automate tasks, and integrate AI capabilities into existing software.

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What other technologies are related to Semantic Kernel?

Semantic Kernel Competitor Technologies

LangChain

LangChain is a framework for building applications powered by large language models, similar to Semantic Kernel.

mentioned alongside Semantic Kernel in 4% (855) of relevant job posts

Autogen

AutoGen is an agent based framework by Microsoft Research, similar to Semantic Kernel.

mentioned alongside Semantic Kernel in 11% (149) of relevant job posts

LlamaIndex

LlamaIndex is a data framework for LLM applications, similar to Semantic Kernel in its goals.

mentioned alongside Semantic Kernel in 5% (254) of relevant job posts

LangGraph

LangGraph is a graph based agent orchestration and execution engine, similar to Semantic Kernel.

mentioned alongside Semantic Kernel in 4% (70) of relevant job posts

Haystack

Haystack is an open-source framework for building search pipelines that work with large language models, similar in function to Semantic Kernel.

mentioned alongside Semantic Kernel in 4% (52) of relevant job posts

Semantic Kernel Complementary Technologies

Vector/Graph/SQL Databases

Databases provide storage and retrieval mechanisms for data, including embeddings, which Semantic Kernel can utilize. Vector databases are particularly useful for storing embeddings for RAG.

mentioned alongside Semantic Kernel in 97% (74) of relevant job posts

Customer engagement systems

Semantic Kernel can be integrated with customer engagement systems to enhance their capabilities with AI-powered features.

mentioned alongside Semantic Kernel in 83% (54) of relevant job posts

Workflow platforms

Semantic Kernel can be used to build AI-powered steps or components in workflow automation platforms.

mentioned alongside Semantic Kernel in 76% (56) of relevant job posts