Mar 27
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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 Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0