Not Entropy: Zero — You’ve Found ZeroEntropy

Jul 8, 2025

We’ve noticed some visitors are searching for Entropy: Zero, the popular Half-Life 2 mod. If that’s what you’re looking for, you can find it here.

But if you’re here for ZeroEntropy, welcome.
We’re an AI company building advanced retrieval and reranking models for the future of intelligent systems.

What We Do at ZeroEntropy:

Cutting-edge neural rerankers
Open-source pipelines on HuggingFace
Deep learning research by ex-IOI/IMO devs

If you're into AI, NLP, or the future of information retrieval, explore our homepage or check out our latest models.

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Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

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LegalBench-RAG, the First Open-Source Retrieval Benchmark for the Legal Domain

Nov 29, 2024

LegalBench-RAG is the first open-source benchmark for legal RAG retrieval—6,800+ queries, 79M+ characters, human-annotated spans. Evaluate legal AI today.

LegalBench-RAG, the First Open-Source Retrieval Benchmark for the Legal Domain

Nov 29, 2024

LegalBench-RAG is the first open-source benchmark for legal RAG retrieval—6,800+ queries, 79M+ characters, human-annotated spans. Evaluate legal AI today.

LlamaChunk: A General and Cost Efficient Approach to Semantic Chunking

Dec 1, 2024

Learn how LlamaChunk delivers fast, accurate semantic chunking for RAG—outperforming regex and embedding methods with LLM-guided document splitting.

LlamaChunk: A General and Cost Efficient Approach to Semantic Chunking

Dec 1, 2024

Learn how LlamaChunk delivers fast, accurate semantic chunking for RAG—outperforming regex and embedding methods with LLM-guided document splitting.

AGI requires better retrieval, not just better LLMs

Dec 2, 2024

AGI needs more than LLMs—it needs smarter retrieval. Learn how to identify failure modes in RAG and evaluate search accuracy with ZeroEntropy’s benchmarks.

AGI requires better retrieval, not just better LLMs

Dec 2, 2024

AGI needs more than LLMs—it needs smarter retrieval. Learn how to identify failure modes in RAG and evaluate search accuracy with ZeroEntropy’s benchmarks.

LegalBench-RAG, the First Open-Source Retrieval Benchmark for the Legal Domain

Nov 29, 2024

LegalBench-RAG is the first open-source benchmark for legal RAG retrieval—6,800+ queries, 79M+ characters, human-annotated spans. Evaluate legal AI today.

LlamaChunk: A General and Cost Efficient Approach to Semantic Chunking

Dec 1, 2024

Learn how LlamaChunk delivers fast, accurate semantic chunking for RAG—outperforming regex and embedding methods with LLM-guided document splitting.

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Not Entropy: Zero — You’ve Found ZeroEntropy

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RELATED ARTICLES

LegalBench-RAG, the First Open-Source Retrieval Benchmark for the Legal Domain

LegalBench-RAG, the First Open-Source Retrieval Benchmark for the Legal Domain

LlamaChunk: A General and Cost Efficient Approach to Semantic Chunking

LlamaChunk: A General and Cost Efficient Approach to Semantic Chunking

AGI requires better retrieval, not just better LLMs

AGI requires better retrieval, not just better LLMs

LegalBench-RAG, the First Open-Source Retrieval Benchmark for the Legal Domain

LlamaChunk: A General and Cost Efficient Approach to Semantic Chunking