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Marqo split its inference layer into services and is now tuning hybrid-search relevance knob by knob.
Comparison · ai-assistants
Docling vs Semantic Kernel
A side-by-side editorial comparison of Docling and Semantic Kernel — release velocity, themes, recent moves, and the top alternatives to consider.
Docling vs Semantic Kernel: at a glance
What is Docling?
Docling keeps widening what counts as a document — now video, charts, and agent skills.
Docling ships roughly weekly, and each release adds input surface rather than polish. In six versions it picked up a video pipeline and InputFormat.VIDEO, legacy binary Office formats, an EBCDIC backend, a BoxNote backend, and native chart parsing across Word, Excel and PowerPoint that keeps the underlying data instead of a rendered image. Fix lists are long and concentrated in the DOCX, ODF and PDF backends, which is where format edge cases actually live.
What is Semantic Kernel?
Semantic Kernel is in orderly maintenance while Microsoft Agent Framework takes over.
Semantic Kernel ships parallel .NET and Python trains on version-only tags, and most of what lands is dependency bumps, security hardening and CodeQL noise suppression. The exceptions are narrow but real: Python 1.44.1 adds a breaking MCP tool approval callback for Azure AI Agent and skips MCP tools whose normalised names collide, while earlier point releases tightened OpenAPI parsing and function-choice behaviour for assistant agents. Release cadence is roughly monthly per language with little feature surface between tags.
Docling vs Semantic Kernel: editorial side-by-side
Docling
7.5AI-ASSISTANTS
Docling keeps widening what counts as a document — now video, charts, and agent skills.
◆ Current state
Docling ships roughly weekly, and each release adds input surface rather than polish. In six versions it picked up a video pipeline and InputFormat.VIDEO, legacy binary Office formats, an EBCDIC backend, a BoxNote backend, and native chart parsing across Word, Excel and PowerPoint that keeps the underlying data instead of a rendered image. Fix lists are long and concentrated in the DOCX, ODF and PDF backends, which is where format edge cases actually live.
◆ Where it's heading
Two arcs run in parallel. The conversion core is becoming format-omnivorous — charts, video, mainframe encodings, archive formats — while the service layer grows the plumbing to run it at scale: chunking options and targets, generic batch connector sources, GCS, Azure Blob and Google Drive as both source and target. The agent skills in v2.118.0 point at a third arc: making Docling something an agent drives directly rather than a library a developer wires up.
◆ Prediction
Expect the video pipeline to fill out using the ASR presets already in the tree, and the service layer to keep absorbing storage backends. The agent-skills entry suggests more agent-facing packaging is next.
Semantic Kernel
5.0AI-ASSISTANTS
Semantic Kernel is in orderly maintenance while Microsoft Agent Framework takes over.
◆ Current state
Semantic Kernel ships parallel .NET and Python trains on version-only tags, and most of what lands is dependency bumps, security hardening and CodeQL noise suppression. The exceptions are narrow but real: Python 1.44.1 adds a breaking MCP tool approval callback for Azure AI Agent and skips MCP tools whose normalised names collide, while earlier point releases tightened OpenAPI parsing and function-choice behaviour for assistant agents. Release cadence is roughly monthly per language with little feature surface between tags.
◆ Where it's heading
The repository itself states the direction — releases in this window carry a Microsoft Agent Framework successor callout in the READMEs and .NET migration samples updated for Agent Framework 1.0 compatibility. Semantic Kernel is being kept correct and secure rather than extended, with the remaining substantive work concentrated on MCP correctness and OpenAPI plugin safety. Teams should read new tags as stability maintenance on a library with a named successor, not as continued investment.
◆ Prediction
Expect the cadence to continue as security and dependency servicing with occasional MCP fixes, and for migration tooling or documentation pointing at Microsoft Agent Framework to grow faster than any new capability in Semantic Kernel itself.
Alternatives to Docling and Semantic Kernel
Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Docling or Semantic Kernel.
Determined AI
Determined's release feed stops in March 2025, and its last entries are release plumbing.
ClearML
ClearML is hardening the SDK against the artifacts it loads — pickles included.
Gemini
Pushing the same assistant into every surface it can reach: browser, desktop, robots.
Claude
Ships a frontier model roughly monthly, then adds the admin controls weeks later.
Pictory
Pictory publishes comparison content daily and product news never.
See all Docling alternatives → · See all Semantic Kernel alternatives →
Recent activity from Docling and Semantic Kernel
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoSemantic KernelSK .NET 1.79: dependency bumps and a Cosmos DB vector store fix
- 1d agoSemantic KernelSK Python 1.44.1: breaking MCP tool approval callback
- 3d agoDoclingv2.118.0 ships agent skills and an EBCDIC backend ⚡
- 8d agoDoclingv2.117.0 exposes chunking options and VLM logprobs
- 9d agoDoclingv2.116.0 makes the OCR pipeline layout-driven
- 15d agoDoclingv2.115.0 adds batch connector sources and DOCX code-block detection
- 18d agoDoclingv2.114.0 adds a video pipeline and native Word chart parsing ⚡
- 24d agoDoclingv2.113.0 parses PowerPoint charts and adds cloud storage targets
- 1mo agoSemantic KernelSK .NET 1.78: HTTP redirect hardening and dependency bumps
- 1mo agoSemantic KernelSK Python 1.44.0: dependency bumps only
- 1mo agoSemantic KernelSK Python 1.43.1: function choice behavior for assistant agents
- 2mo agoSemantic KernelSK Python 1.43.0: breaking OpenAPI parsing option changes
Frequently asked questions
What is the difference between Docling and Semantic Kernel?
They serve adjacent needs but don't currently overlap on shipped themes. Docling is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Docling better than Semantic Kernel?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Docling is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.
What are the best alternatives to Docling?
Top Docling alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Docling alternatives" section above for the current picks, or visit /alternatives/docling for the full list with editorial commentary on each.
What are the best alternatives to Semantic Kernel?
Top Semantic Kernel alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Semantic Kernel alternatives" section above for the current picks, or visit /alternatives/semantic-kernel for the full list with editorial commentary on each.