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qwick23

12 karma · joined March 26, 2023

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qwick23··on Do you need a vector database?
It is true. Some of the projects are just riding the wave of hype. 18M for a Python wrapper around ClickHouse Db is insane.
qwick23··on Open Sourcing Cody – Sourcegraph's AI-enabled editor assistant
Is it an answer to GitHub Co-Pilot?
qwick23··on Launch HN: Metal (YC W23) – Embeddings as a Service
Wouldn't it be better to partner with an existing managed cloud provider like Pinecone or Qdrant? Why Redis at all? :-0
qwick23··on Vector database built for scalable similarity search
Also my experience. And since Qdrant has now cloud service, it is the choice number one. Best of both worlds. Just missing the GCP support.
qwick23··on Vector database built for scalable similarity search
Yeah, if you don't need performance, then just take a simple ANN library. No need for a database at all. In terms of databases, Qdrant and Pinecone are the simplest I've tried so far. But Pinecone isn't open-source, not an option for on-prem. PGvector is too much imho, do not want to have all the other Sequel stuff if I just need an NN search.
qwick23··on Vector database built for scalable similarity search
What do you think about Weaviate or Qdrant? There is a nice benchmarks overview with all the major players https://qdrant.tech/benchmarks/
qwick23··on I lost everything that made me love my job through Midjourney
Sounds like viral marketing campaign in flavor of Midjourney
qwick23··on Vector database built for scalable similarity search
With Postgres, you can do almost everything, also a full-text search, but you still have Elasticsearch, Mejlisearch, etc when you need performance and advanced features. The multitool approach is suboptimal in most cases.
qwick23··on Show HN: Client-Side WASM Vector Search
That is amazing! Would be awesome to have a client-side version of Qdrant https://github.com/qdrant/qdrant
qwick23··on Vector database built for scalable similarity search
tbh. Looks like a huge overengineered legacy project. What is the clue to having all these ANN indexes in place? Is it a kinda art collection? What is the sense when you can just have HNSW in memory, with quantization, or on disk, GPU accelerated, etc. There are already better alternatives like Qdrant, which is written in Rust and super performant https://github.com/qdrant/qdrant, or Weaviate with GraphQL interface https://github.com/weaviate/weaviate