Chroma Cloud – serverless search database for AI
Hey HN - I’m Jeff, co-founder of Chroma. In December of 2022, I was scrolling Twitter in the wee-hours of the morning holding my then-newborn daughter. ChatGPT had launched, and we were all figuring out what this technology was and how to make it useful. Developers were using retrieval to bring their data to the models - and so I DM’d every person who had tweeted about “embeddings” in the entire month of December. (it was only 120 people!) I saw then how AI was going to need to search to all the world’s information to build useful and reliable applications. Anton Troynikov and I started…
Chroma Cloud – serverless search database for AI launched on August 18, 2025 with 93 votes, #395 of 8,530 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Chroma Cloud is a serverless search database designed for AI applications. It enables developers to store and retrieve data as embeddings, allowing AI models to access relevant information for more accurate and reliable responses. The platform simplifies building AI systems by handling the infrastructure needed to search through data at scale, making it easier for developers to integrate retrieval capabilities into their AI-powered applications.
written from the facts on this page · September 2026
From the sources
Open-source search infrastructure for AI
// configure client and collection for sparse embeddings (BM25, SPLADE) // Add documents with sparse embeddings (BM25) await collection. add ({ ids: [ "id1" , "id2" ], documents: [ "Document about databases" , "ML tutorial" ] }) // Query with sparse vector const sparseRank = Knn ({ query: "ML" , key: "sparse_embedding" }); // Build and execute search const search = new Search () . rank (sparseRank) . limit ( 10 ) . select ( K . DOCUMENT , K . SCORE ); const results = await collection. search (search); Terminal Output $ node sparse-search.js Connecting to Chroma... ✓ Connected successfully Creating collection 'my_collection'... ✓ Collection created Adding documents with sparse embeddings…from trychroma.com
In the maker’s words, at launch
Hey HN - I’m Jeff, co-founder of Chroma. In December of 2022, I was scrolling Twitter in the wee-hours of the morning holding my then-newborn daughter. ChatGPT had launched, and we were all figuring out what this technology was and how to make it useful. Developers were using retrieval to bring their data to the…
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