Alternatives

Products that do what Wikipedia vector search. 36M passages embeddings in just 2.54 GB does

1AS
A search engine that lets you 'add' words as vectors▲148
2013 · insightdatascience.com
2IM
I made a website to semantically search ArXiv papers▲324
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
2024 · papermatch.mitanshu.tech
3FT
Full text search Project Gutenberg (60m paragraphs)▲202
2021 · gutensearch.com
4WQ
Word2Bits – Quantized Word Vectors▲221
2018 · github.com
5WA
Wikipedia2Vec – A tool for learning embeddings of words and entities▲105
2018 · wikipedia2vec.github.io
6OS
Open-source search engine with 2bn-page index▲229
2016 · deusu.org
7ES
Efficiently searching compressed text files▲125
2015 · github.com
8FT
Full-text search with 16-bit vector space index and HTTP API▲13
2018 · github.com
9TI
TF-IDF search engine in 30 lines of Scala▲43
2011 · github.com
10FT
Full text search on 24M filehoster links▲11
2015 · api.alluc.com
11AP
All-pair similarity search on millions of sets in Python and on laptop▲123
2018 · github.com
12SC
Shift-Ctrl-F: Search a webpage with natural language and TensorFlowJS▲143
2020 · github.com
13TF
TurboQuant for vector search – 2-4 bit compression▲89
Mar 2026 · github.com
14AP
A Python container for dataclasses with multi-indexing and vector opps▲122
2020 · github.com
15AS
A search widget for static web sites▲88
2017 · webtigerteam.com
16PF
Pisa – Full Text Search Engine Written in C++▲96
2020 · github.com
17HI
HNSW index for vector embeddings in approx 500 LOC▲73
2025 · github.com
18SV
SQLite-vector – Vector search extension for SQLite (no index, 30MB RAM)▲5
2025 · github.com
19LP
Linkwok – Picking up where search engines left off▲22
2014 · linkwok.com
20CV
Client Vector Search – Embeddings and Semantic Search with 5 Lines▲11
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration…
2023 · clientvectorsearch.com
21ML
Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search▲28
We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…
2024 · github.com
22ET
[Embedditor] - the Open-source Microsoft Word for Vector Embeddings▲7
2023 · github.com
23WC
We cut RAG latency ~2× by switching embedding model▲27
Nov 2025 · myclone.is
24MS
Mira – Search for files semantically – no exact filenames required▲5
Would appreciate a star (and happy for ideas on improving indexing speed/embedding quality)!
May 2026 · github.com

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