Chroma released Context-1, a 20B parameter agentic search model fine-tuned with SFT and RL, purpose-built as a retrieval subagent. Its "Self-Editing Context" feature proactively prunes irrelevant documents mid-search with 0.94 pruning accuracy, preventing context window overload in complex multi-hop queries and representing a major architectural bet on decoupling retrieval from generation.
Snapshot — March 29, 2026
2 stories
- Salesforce AI Research published VoiceAgentRAG — a dual-agent memory router cutting voice AI retrieval latency by 316× by routing queries between a fast semantic cache and a precision retrieval system based on confidence scoring.
- Directly applicable to enterprise customer service AI, voice assistants, and real-time knowledge retrieval at scale.