Dev tools · alternatives · 2026

24 alternatives to TurboQuant for vector search – 2-4 bit compression

A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec

TurboQuant for vector search is a compression tool that reduces vector data to 2-4 bits while maintaining search performance. It's designed for developers and researchers working with vector databases and semantic… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
TurboQuant▲295
New LLM compression algorithm by Google
Mar 2026 · research.google · its alternatives →
2
TurboQuant-WASM – Google's vector quantization in the browser▲165
TurboQuant WASM SIMD vector compression — 3 bits/dim with fast dot product. Requires relaxed SIMD (Chrome 114+, Firefox 128+, Safari 18+, Node 20+) - teamchong/turboquant-wasm
Apr 2026 · github.com · its alternatives →
3
Vector – A High-Performance Log and Metric Router Written in Rust▲322
A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
2019 · github.com · its alternatives →
4AG
A GPU-accelerated binary vector index▲65
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
5
Meilisearch AI▲241
Boost relevance and UX with fast hybrid and semantic search
2025 · meilisearch.com · its alternatives →
6
20x faster pgvector alternative written in Rust▲23
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
2023 · github.com · its alternatives →
7
HelixDB – Open-source vector-graph database for AI applications (Rust)▲237
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
8
DivANS – Rust simd compression algorithm demo in WASM in the browser▲36
2018 · dropbox.github.io · its alternatives →
9
EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM)▲7
Hi HN, I built EdgeVec, a vector database that runs entirely in the browser. It implements HNSW (Hierarchical Navigable Small World) graphs for approximate nearest neighbor search. Performance: - Sub-millisecond search at 100k vectors (768 dimensions, k=10) - 148 KB gzipped bundle - 3.6x memory reduction with scalar quantization Use cases: browser extensions with semantic search, local-first apps, privacy-preserving RAG. Technical: Written in Rust, compiled to WASM. Uses AVX2 SIMD on native, simd128 on WASM. IndexedDB for browser persistence. npm:…
Dec 2025 · github.com · its alternatives →
10
Turbolite – a SQLite VFS serving sub-250ms cold JOIN queries from S3▲185
I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…
Mar 2026 · github.com · its alternatives →
11
SeekStorm – open-source sub-millisecond search in Rust▲245
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust. - SeekStorm/SeekStorm
2024 · github.com · its alternatives →
12
A fast HNSW implementation in Rust▲111
HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf - swapneel/hnsw-rust
2024 · github.com · its alternatives →
13
Fast vector similarity using Rust and Python▲141
I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
2023 · github.com · its alternatives →
14
USearch – Smaller and Faster Single-File Vector Search Engine▲21
Last week was insane for vector search. Weaviate raised $50M, and Pinecone raised $100M... That's a lot and makes you believe that vector search is hard. But it's not. I have spent the last couple of days implementing a single-file vector search engine from scratch, which is at least the tenth in the twenty years of my career. But this time, it's different. Instead of inventing a brand new algorithm and doing some crazy optimizations on the GPU, I: 1. took the standard HNSW algorithm, 2. fitted into 1000 lines of C++11 for portability, 3. added quantization and hardware-accelerated metrics,…
2023 · github.com · its alternatives →
15AS
A search engine that lets you 'add' words as vectors▲148
2013 · insightdatascience.com · its alternatives →
16
High-Performance Wavelet Matrix for Python, Implemented in Rust▲93
I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!
Dec 2025 · pypi.org · its alternatives →
17
TurboPFor – Bringing Fastest Integer Compression Incl. SIMD to Java▲14
Fastest Integer Compression. Contribute to powturbo/TurboPFor-Integer-Compression development by creating an account on GitHub.
2015 · github.com · its alternatives →
18
Victor, a browser-optimized vector database written in Rust▲27
Hey HN, My friend Sam and I were bored one weekend, and wanted to make something self-contained but still useful. We ended up with Victor [0], a vector database designed to run in the browser. It’s written in Rust, which gives us access to things like super-fast and compact serialization and deserialization, but it’s compiled to WASM and uses web-sys to interact with the browser’s JS APIs to write the database contents to disk. We worked hard on designing it in a way that makes sense for the browser. It uses the private origin file system [1] and stores the vectors in a compact format (one…
2023 · github.com · its alternatives →
19SA
Spart – A Rust library for fast spatial search with Python bindings▲31
Hi everyone, I've made an open-source library for fast spatial search in Rust. It's called Spart, and it currently provides the following features: - Five tree implementations: Quadtree, Octree, Kd-tree, R-tree, and R*-tree - Python bindings (`pyspart` on PyPI) - Fast k-nearest neighbor (kNN) and radius search - Bulk data loading for efficient tree construction Project's GitHub repo: https://github.com/habedi/spart
2025 · its alternatives →
20
Vectorly▲92
Get web data behind clicks, searches, user interactions
Dec 2025 · inkbox.ai · its alternatives →
21
TurboRAG
Fast mode when you need it, exact when you must
Apr 2026 · turborag.jpdz.app · its alternatives →
22
TurboRLE – Turbo Run Length Encoding using SIMD▲23
TurboRLE-Fastest Run Length Encoding. Contribute to powturbo/Turbo-Run-Length-Encoding development by creating an account on GitHub.
2015 · github.com · its alternatives →
23
I compressed 10k PDFs into a 1.4GB video for LLM memory▲61
While building a Retrieval-Augmented Generation (RAG) system, I was frustrated by my vector database consuming 8GB RAM just to search my own PDFs. After incurring $150 in cloud costs, I had an unconventional idea: what if I encoded my documents into video frames? The concept sounded absurd—storing text in video? But modern video codecs have been optimized for compression over decades. So, I converted text into QR codes, then encoded those as video frames, letting H.264/H.265 handle the compression. The results were surprising. 10,000 PDFs compressed down to a 1.4GB video file. Search…
2025 · github.com · its alternatives →
24PV
ParqDB – Vector search in the browser from Parquet over HTTP"▲26
Search a 100,000-article ParqDB index directly in the browser with MiniLM, HTTP Range, Parquet, and WebAssembly.
Aug 2026 · search.parqdb.io · its alternatives →

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