Classer vs TensorSharp

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search...

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

About Classer

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search infrastructure in days. Run the full pipeline or drop any one stage behind your existing stack. Route on what you extract: a part number sends the query straight to exact lexical lookup. Retrieve by meaning, not vocabulary, a query and a product can match with no words in common. Let retrieval cast a wide net, then put 27 billion parameters on reading the catch, ranking for purchase intent, not textual similarity.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.