Pinned
Introducing Chroma Context-1, a 20B parameter search agent.
> pushes the pareto frontier of agentic search
> order of magnitude faster
> order of magnitude cheaper
> Apache 2.0, open-source
Chroma
@trychroma
Data infrastructure for AI
Apache 2.0
Joined March 2022
- We’re excited to share our latest research led by @patpcj and @HammadTime. Frontier level agentic search performance at 20B parameters.Introducing Harness-1, a 20B search agent trained with a state-externalizing harness. > frontier-level long-horizon search, rivaling Opus-4.6 and outperforming GPT-5.4 > Context-1-level cost and latency > externalizes candidates, evidence, verification, and search history >
- Reranking is a critical part of a high quality search system. Build an intuition for how it works and how to think about integrating reranking into your application. 👇
