Headquarters
San Francisco, CAFounded
2022CEO / Founder
Jeff HuberEmployees
11-50Funding
Seed — $18MProducts
1 product listedAvg. AI Score
8.0/10Website
trychroma.com/Profile updated
Chroma is an open-source vector database company founded in 2022 and headquartered in San Francisco, California. The company was co-founded by Jeff Huber and Anton Troynikov to provide developers with a simple, embeddable database for storing, querying, and managing vector embeddings used in AI applications.
Chroma's primary product is its eponymous open-source vector database, which allows developers to store document embeddings alongside metadata and query them by semantic similarity. It is commonly used in retrieval-augmented generation (RAG) pipelines, enabling large language model applications to retrieve relevant context from external data sources. The database can run embedded within a Python or JavaScript application or as a standalone server, and it has gained adoption among developers building LLM-powered tools.
Chroma raised an $18 million seed round in 2023, with participation from investors including Astasia Myers of Quiet Capital and others. The company operates with a small team and distributes its core product under an open-source license, with the GitHub repository accumulating significant developer interest since its public release in early 2023.
Dated, source-cited figures. Estimates are marked.
All products by Chroma reviewed by our AI panel of experts.
Six independent reviewer personalities assessed Chroma's product on their own terms. They landed within 0.4 points of each other, an unusually strong consensus.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who Chroma competes with, and how they differ.
Pinecone is a fully managed, closed-source vector database with no self-hosted option, targeting production RAG at scale on proprietary serverless infrastructure, versus Chroma's open-source, self-hostable-first model.
1 product reviewed on TopReviewedWeaviate is an open-source vector database written in Go with built-in hybrid search and a GraphQL/REST API, competing directly with Chroma for self-hosted RAG deployments but with a heavier operational footprint in its distributed cluster mode.
1 product reviewed on TopReviewedQdrant is a Rust-built open-source vector database focused on high-performance filtered search and a low memory footprint, competing with Chroma's own Rust-rewritten core for the same self-hosted developer segment.
1 product reviewed on TopReviewedMongoDB Atlas Vector Search bolts vector indexing onto an existing general-purpose document database, appealing to teams that want to add embeddings to data they already store in MongoDB rather than adopt a purpose-built vector store like Chroma.
1 product reviewed on TopReviewedMilvus, commercialized by Zilliz, is an open-source, Kubernetes-native vector database built for billion-scale distributed deployments from day one — a heavier-weight alternative to Chroma's single-node-to-cloud embedded model.
Key milestones in Chroma's history, with sources.
Chroma Cloud reaches general availability
Chroma launched Chroma Cloud, a fully managed serverless deployment of its database built on a distributed Rust engine (Chroma Distributed) running on object storage across AWS and GCP, supporting vector, full-text (BM25), and metadata search.
trychroma.comChroma 1.0 released — Rust rewrite, ~4x faster
Chroma shipped v1.0, a full rewrite of its core engine from Python to Rust that removed the GIL bottleneck and delivered roughly 3-5x faster writes and queries, forming the shared foundation for local and cloud deployments.
github.comSeed round — $18M led by Quiet Capital
Chroma raised an $18 million seed round led by Astasia Myers of Quiet Capital, with angel participation from Naval Ravikant, Guillermo Rauch, and executives from Hugging Face, MongoDB, and Notion. The post also disclosed a previously unannounced 2022 pre-seed round.
trychroma.comOpen-source Chroma v0.1.0 released
Chroma published its first tagged open-source release (v0.1.0) of its AI-native embedding database on GitHub, licensed Apache 2.0.
github.comPre-seed round led by AIX Ventures, Bloomberg Beta and AI Grant
Chroma closed a pre-seed round led by Anthony Goldbloom (AIX Ventures), with participation from James Cham (Bloomberg Beta) and Nat Friedman and Daniel Gross (AI Grant). The round was disclosed retroactively alongside the April 2023 seed announcement.
trychroma.comChroma founded in San Francisco
Chroma was founded by Jeff Huber (CEO) and Anton Troynikov (CTO) to build an AI-native, developer-first embedding database for retrieval-augmented generation applications.
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