Context compression for LLM pipelines that proves nothing protected was lost before it emits, and refuses when it cannot. Refusals count against the published numbers. Paper, benchmarks and receipts ship with the code. Open core by LaconIQ. Apache-2.0.

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apache-2-0 compression context-compression llm machine-learning prompt-compression prompt-engineering python rag
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Context compression for LLM pipelines that proves nothing protected was lost before it emits, and refuses when it cannot. Refusals count against the published numbers. Paper, benchmarks and receipts ship with the code. Open core by LaconIQ. Apache-2.0.

Python
#apache-2-0#compression#context-compression#llm#machine-learning#prompt-compression#prompt-engineering#python#rag

Context compression for LLM pipelines that proves nothing protected was lost before it emits, and refuses when it cannot. Refusals count against the published numbers. Paper, benchmarks and receipts ship with the code. Open core by LaconIQ. Apache-2.0.

Python
#apache-2-0#compression#context-compression#llm#machine-learning#prompt-compression#prompt-engineering#python#rag

Context compression for LLM pipelines that proves nothing protected was lost before it emits, and refuses when it cannot. Refusals count against the published numbers. Paper, benchmarks and receipts ship with the code. Open core by LaconIQ. Apache-2.0.

Python
#apache-2-0#compression#context-compression#llm#machine-learning#prompt-compression#prompt-engineering#python#rag

Context compression for LLM pipelines that proves nothing protected was lost before it emits, and refuses when it cannot. Refusals count against the published numbers. Paper, benchmarks and receipts ship with the code. Open core by LaconIQ. Apache-2.0.

Python
#apache-2-0#compression#context-compression#llm#machine-learning#prompt-compression#prompt-engineering#python#rag