Chroma
trychroma.com
Actively hiring
AI Development Tools
Databases & DBMS
Vector Search & RAG
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Overview
News
Salaries
Products
People
Growth
Offices
Financials
Funding and backers
Total raised
$18M
1 round on record
Latest round
$18M
Seed · Apr 2023 · 3 yr ago
Team
11-50
employees, estimated range
Backers
2
Airstreet, AIX Ventures
The money's age
Long since its last round
42 months since the last round · not hiring
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jul 14, 2025
On the Hacker News front page Context Rot: How increasing input tokens impacts LLM performance · 260 points
Apr 7, 2025
Launched on Hacker News Show HN: Generative Benchmarking for RAG
Apr 6, 2023
Raised a round Seed $18M
2022
Founded
Tractionpublic signals, read monthly
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Seed | Apr 2023 | $18M | — | trychroma.com |
Backed byfrom the funds' portfolios and accelerator catalogs
Airstreet 
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Overview
Chroma is a San Francisco company founded in 2022 that maintains one of the most widely used open-source embedding databases. Its library made vector storage a few lines of code for developers building retrieval-augmented applications, and it now offers a managed cloud service. The project became a default component in the early generative AI developer stack.
News
Razer Mako and Mako X bring compact desktop speakers with Chroma RGB
Razer is expanding its desktop gaming audio range with the new Razer Mako and Mako X speakers, designed to deliver …
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Report
Agent Swarms are a Distributed Systems Problem
Fission trades atomicity to conserve reasoning.
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Report
Context Rot: How Increasing Input Tokens Impacts LLM Performance
Large Language Models (LLMs) are typically presumed to process context uniformly-that is, the model should handle the 10,000th token just as reliably as the 100th. However, in practice, this assumption does not hold. We observe that model performance vari
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Report
Chroma Context-1: Training a Self-Editing Search Agent
Retrieval pipelines typically operate in a single pass, which poses a problem when the information required to answer a question is spread across multiple documents or requires intermediate reasoning to locate. In practice, many real-world queries require
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Chroma (@trychroma) on X
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
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Distributed Chroma: Bring Your Own Cloud
Chroma BYOC lets customers run Chroma inside their own cloud to meet strict security and compliance requirements, while still relying on Chroma's team to operate and support the database in production.
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Report
Same Image, Different Score?
Metrics don't just measure encoder performance; decoding matters too, and even after decoding, not all post-processing is created equal.
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Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
San Francisco
United States
HQ
10-50 est. staff
Financials
Total raised
$18M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Seed | 2023 | $18M | Details |