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Similar projects and alternatives to vecs
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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edge-runtime
A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
vecs reviews and mentions
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Hugging Face is now supported in Supabase
supabase/vecs is our Python client for vector projects. Today, we're releasing a new feature for vecs called "adapters".
hey hn, supabase ceo here.
This is an iteration of several things that we’ve developed to support Hugging Face.
1. Python adapters. The first is our python lib, Vecs [0], which now supports “adapters”. Adapters are simply a pipeline of transformations that an input goes through (for example: split the text into chunks, then turn it into an embedding). We’ve included support for Hugging Face sentence transforms to automatically download the models on first run, and then cache them for subsequent runs.
2. Deno support. I want to start by pointing out that most of the hard work to support Hugging Face in Javascript is through Joshua’s continued efforts on Transformers.js (Joshua is an employee at HF). To support this effort we’re rolling out support across all of the Supabase Edge Functions. We’ve started with sentence embeddings for now since that’s the most common use-case for pgvector.
At the moment 98% of Supabase customers use OpenAI to create embeddings in pgvector. With today’s release we’re hoping to add more options, especially for situations where fewer dimensions are viable (for better pgvector performance[2])
A few of the supabase engineers will be in the comments to answer any questions, as well as Joshua from HF (@xenova on HN)
[0] Vecs: https://github.com/supabase/vecs/
[1] Transformers.js: https://huggingface.co/docs/transformers.js/index
[2] pgvector performance with lower dimensions: https://supabase.com/blog/fewer-dimensions-are-better-pgvect...
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Vecs: Vector Store Client backed by PostgreSQL/pgvector
Vecs is a python client storing and searching vectors backed by Postgres and pgvector. It gives a familiar collection-like interface to upserting and searching.
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A note from our sponsor - SaaSHub
www.saashub.com | 9 May 2024
Stats
supabase/vecs is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of vecs is Python.
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