vector

14 stories and discussions about vector, aggregated from every source we track.

1.

Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...

35 points•lovestaco•9 days ago•5 comments
2.

As teams rush to build with Generative AI, they're creating a dangerous chasm between their data and...

9 points•votuduc•8 days ago•-1 comments
3.

Turn Google Drive into an AI-Powered Lakehouse Vector Engine across Converted PDFs, Binary Images,...

7 points•tanaike•23 days ago•0 comments
4.

This is a submission for the Sanity Challenge, Path Two: Build a Knowledge Base or Context...

5 points•rajan_mishra_a9f78ad216b4•5 days ago•0 comments
5.

turbopuffer is pushing the frontier of search. To do that, we have to fundamentally redesign our storage architecture so the vector index is no longer primary.

3 points•shenli3514•about 1 hour ago•0 comments•
6.

Vector search is great, but it only goes so far. I benchmarked several ways to improve relevance with surprising results.

3 points•allenheltondev•1 day ago•6 comments
7.

turbopuffer is pushing the frontier of search. To do that, we have to fundamentally redesign our storage architecture so the vector index is no longer primary.

2 points•emschwartz•about 10 hours ago•0 comments•
8.

A fast, free vector graphics editor that runs entirely in your browser. No install — design freely, then sign in to sync your files to the cloud.

2 points•fgatti•1 day ago•1 comment•
9.

ext-turbovec brings quantized vector search inside the PHP process — TurboQuant 4-bit compression, SIMD kernels, SQL-friendly ids, and filtered search that gets faster, not worse.

2 points•eamann•7 days ago•0 comments•
11.

I created a simple vector database called "Vector IDB" that runs directly in the browser using IndexedDB. It's designed to store and query JSON documents with vector embeddings, similar to Pinecone, but implemented…

2 points•antonz•over 2 years ago•0 comments
12.

Starting with Feast v0.65, a new tighter integration between Feast and ScyllaDB brings vector search support and better performance to the online store. This post covers what changed, why teams outgrow their existing…

1 points•tzach•5 days ago•1 comment•
14.

An architectural benchmark of Pinecone, Qdrant, Milvus, and pgvector for production RAG pipelines: HNSW vs IVFFlat indexing, single-stage filtered search, p95 latency, and memory footprint.

1 points•locionic•12 days ago•1 comment

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