{"type":"raw_signal","id":"basket-2459512c-31","slug":"agent-document-data-stack-roundup","title":"Agent Document Stacks Split Parsing, Embeddings, and Evaluation","description":"New releases show document agents becoming composed systems with separate extraction, representation, and quality layers.","retrieval_nugget":"New releases show document agents becoming composed systems with separate extraction, representation, and quality layers. A cluster of releases is separating the document-agent stack into parsing, multimodal representation, and evaluation.","observed_at":"2026-08-28","record_date":"2026-08-28","date_kind":"observed_at","why_it_matters":"The practical architecture is routed: classify the document, choose an extraction path, validate a schema, embed what must remain searchable, and evaluate failures on representative files. The roundup remains an implementation radar, not proof that one stack is best; each component still needs task-specific testing and provenance.","novelty":"structural","verification_level":"source-linked","signal_type":"roundup","source_platform":"x.com","topics":["document-ai","embeddings","evals"],"entities":[],"related_patterns":[],"source_url":"https://x.com/jerryjliu0/status/2093028218467172357","source_urls":["https://x.com/jerryjliu0/status/2093028218467172357","https://x.com/cohere/status/2092962407849050478","https://x.com/cohere/status/2092962411284189285","https://x.com/cohere/status/2092962413154832671","https://llamaindex.ai/blog/introducing-extractbench","https://github.com/Tencent/WeMM-Embedding"],"schema_version":"newruntime-agent-readable-v0.2","stable_id":"signal:agent-document-data-stack-roundup","status":"published","visuals":[],"routes":{"html":"https://newruntime.com/signals/agent-document-data-stack-roundup/","markdown":"https://newruntime.com/signals/agent-document-data-stack-roundup.md","json":"https://newruntime.com/signals/agent-document-data-stack-roundup.json"}}