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Show HN: Chroma Cloud – serverless search database for AI
31–40 of 43 posts
Re: Show HN: Chroma Cloud – serverless search database for AI
#32Why does it say open source but then try to charge me money
It's a great model for people who want to have grasp beyond the typical software reach.
Re: Show HN: Chroma Cloud – serverless search database for AI
#33Re: Show HN: Chroma Cloud – serverless search database for AI
#34Why does it say open source but then try to charge me money
Re: Show HN: Chroma Cloud – serverless search database for AI
#35Re: Show HN: Chroma Cloud – serverless search database for AI
#36I haven't heard of Chroma before (sorry about that), but how does it compare to Weaviate?
Chroma and Weaviate are both popular OSS projects, 21k and 14k stars respectively.
Weaviate has some features that Chroma does not (yet) - notably vector quantization. Weaviate is a single-node DB that can be run in cluster mode.
Chroma focuses on reliability and operational simplicity. The fully distributed architecture means there are no knobs to tune or config to set.
There's no right tool for everyone. Try both!
Re: Show HN: Chroma Cloud – serverless search database for AI
#37I still remember when the website said Chroma Cloud was coming end of 2023. What took so long?
cloud has been in private beta for a year now.
we chose to not release it to the public until we were extremely confident in the system and its characteristics.
databases are a serious business. developers trust us with their mission critical data.
Re: Show HN: Chroma Cloud – serverless search database for AI
#38For my client I've "built" a similar setup with Supabase + pgVector and I give the AI direct SQL access.
Here is the hard part: Just last week did I index 1.2 million documents for one project of one customer. They have pdfs with 1600 pages or PPTX files of >4GB. Plus lots of 3D/2D architecture drawings in proprietary formats.
The difficulty I see is - getting the data in ETL. This takes days and is fragile - keep RBAC - Supabase/pgVector needs lots of resources when adding new rows to the index -> wish the resources scale up/down automatically. Instead of having to monitor and switch to the next plan.
How could chroma help me here?
Re: Show HN: Chroma Cloud – serverless search database for AI
#39Chroma looks cool. Congratulations on the Cloud version. For my client I've "built" a similar setup with Supabase + pgVector and I give the AI direct SQL access. Here is the hard part: Just last week did I index 1.2 million documents for one project of one customer. They have pdfs with 1600 pages or PPTX files of >4GB. Plus lots of 3D/2D architecture drawings in proprietary formats. The difficulty I see is - getting…
Many ways potentially - but one way is Chroma makes all this pain go away.
We're also working on some ingestion tooling that will make it so you don't have to scale, manage or run those pipelines.
Re: Show HN: Chroma Cloud – serverless search database for AI
#40Chroma looks cool. Congratulations on the Cloud version. For my client I've "built" a similar setup with Supabase + pgVector and I give the AI direct SQL access. Here is the hard part: Just last week did I index 1.2 million documents for one project of one customer. They have pdfs with 1600 pages or PPTX files of >4GB. Plus lots of 3D/2D architecture drawings in proprietary formats. The difficulty I see is - getting…
> Supabase/pgVector needs lots of resources when adding new rows to the index -> wish the resources scale up/down automatically. Instead of having to monitor and switch to the next plan. Many ways potentially - but one way is Chroma makes all this pain go away. We're also working on some ingestion tooling that will make it so you don't have to scale, manage or run those pipelines.