Chroma Cloud is now available via Stripe Projects! Stripe Projects allows your agent to provision infrastructure on your behalf. Projects automatically creates accounts, manages billing and provisions API keys, cutting out the frustration of going into the browser to sign up for services. Get started now! stripe projects add chroma/database
Chroma
Technology, Information and Internet
San Francisco, CA 9,186 followers
Data infrastructure for AI
About us
Chroma builds data infrastructure for AI
- Website
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https://www.trychroma.com/
External link for Chroma
- Industry
- Technology, Information and Internet
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
Locations
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Primary
Get directions
San Francisco, CA, US
Employees at Chroma
Updates
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We're releasing Chroma Context-1, a 20B parameter open-source search agent that pushes the pareto frontier of agentic search, an order of magnitude faster and cheaper than frontier alternatives. Accurate search is rarely a single step. The output of one search informs the next. Frontier LLMs can do this through agentic search, but long trajectories become cost and latency prohibitive. Context-1 solves this by separating search from generation. Three ideas that made it work: 1. Staged training: recall first, then precision. Context-1 is trained with SFT + RL on 8,000+ synthetic multi-hop tasks. The curriculum first optimizes for broad recall, then progressively trains the agent to narrow down to the most relevant documents. The result is a model that retrieves thoroughly and selects carefully. 2. Self-editing context. As the agent searches, its context window fills with documents, many of which may be irrelevant. Context-1 is trained to selectively prune its own context mid-search, freeing space for further exploration and reducing context rot. This lets a 20B model with a 32k token budget outperform frontier models with much larger context windows. 3. Scalable synthetic task generation. We built an extraction-based verification pipeline with an LLM judge that achieves high human alignment, minimizing the need for manual annotation. Tasks span 4 domains: web, SEC filings, patent law, and email, each requiring the agent to chain clues across documents. Context-1 matches or exceeds frontier models on BrowseComp-Plus, SealQA, FRAMES, HotpotQA, and HLE. We're open-sourcing the model weights, the harness and the full task generation codebase. Apache 2.0. Full report in comments.
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Chroma Cloud is launching with Stripe Projects. The high friction points of building with AI isn't the AI, it's everything around it. Adding services means managing account credentials, API keys, user permissions, a new dashboard to navigate and more. Stripe Projects removes this friction: stripe projects add chroma/database The Stripe Projects CLI will provision a Chroma Cloud account, generate and store credentials and manage billing, no browser involved.
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Gemini Embedding 2 is available in Chroma clients today!
Announcing Gemini Embedding 2 ✨ the first fully multimodal embedding model built on the Gemini architecture. Now available in preview via the Gemini API and Vertex AI. The new model provides semantic understanding across 100+ languages — and support for modalities across text, images, video, audio and documents (PDFs) in a shared vector space. Start building today. Read the blog to learn more: https://goo.gle/4los3aI
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$1000 of Chroma Cloud credits are now available within the Fin.ai Startup Pack!
🚨Attention startups🚨 We're re-launching our AI Startup pack today with 54 great companies offering you $500K in value This is every product a startup needs, free. Examples: Granola, Cloudflare, Miro, Replit, Superhuman, PostHog, Snowflake, Linear +many, many more. Details in the comments
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