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Chroma just released Context-1 — a 20B parameter self-editing search agent that matches frontier models like GPT-5 and Opus 4.5 on retrieval benchmarks at a fraction of the cost and 10x faster inference. In this video, I break down what Context-1 is, how it compares to my own agentic file search project, and why this matters for anyone building RAG systems.
🔗 Links:
Chroma Context-1 Technical Report: https://www.trychroma.com/research/context-1
Context-1 Weights (Hugging Face): https://huggingface.co/chromadb/context-1
Context-1 Data Gen Pipeline (GitHub): https://github.com/chroma-core/context-1-data-gen
My Agentic File Search Project: https://github.com/PromtEngineer/agentic-file-search
Chroma DB: https://www.trychroma.com/
Context Rot Research (Chroma): https://research.trychroma.com/context-rot
gpt-oss-20B Base Model: https://arxiv.org/abs/2508.10925
Agentic file search playlist: https://www.youtube.com/playlist?list=PLVEEucA9MYhPaUBYCFEBjt521EKuWXpXY
My Dictation App: www.whryte.com
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
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