Launch Week Day 1: The Multilingual Problem of Retrieval

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

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

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.