marqo VS client-vector-search

Compare marqo vs client-vector-search and see what are their differences.

client-vector-search

A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs. (by yusufhilmi)
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marqo client-vector-search
1 2
424 122
- -
10.0 8.5
over 1 year ago 4 months ago
Python TypeScript
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

marqo

Posts with mentions or reviews of marqo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-22.

client-vector-search

Posts with mentions or reviews of client-vector-search. We have used some of these posts to build our list of alternatives and similar projects.
  • Client Vector Search: Embed, store, search, and cache vectors on the Browser
    1 project | news.ycombinator.com | 15 Oct 2023
  • Show HN: Client Vector Search – Embeddings and Semantic Search with 5 Lines
    1 project | news.ycombinator.com | 20 Sep 2023
    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 with our api if you scale fast: 10x cheaper than OpenAI and you don't have to pay for Pinecone et. al.

    play with it: https://clientvectorsearch.com

    install the library: https://www.npmjs.com/package/client-vector-search

    check our repo: https://github.com/yusufhilmi/client-vector-search

    find us on twitter, hit us up with questions:

    - https://twitter.com/yusufhilmi_

    - https://twitter.com/karmedge

What are some alternatives?

When comparing marqo and client-vector-search you can also consider the following projects:

marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

ai-template - Mercury - Train your own custom GPT. Chat with any file, or website.

jina - ☁️ Build multimodal AI applications with cloud-native stack

yt-semantic-search - OpenAI-powered semantic search for any YouTube playlist – featuring the All-In Podcast. 💪

jina-financial-qa-search

nextjs-openai-doc-search - Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.

ByteDetective - The easiest way to search for images on your desktop 🔎

hn-recommendation-api - A recommendation system for Hacker News. Get the most similar posts for a given URL

sycamore - 🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!

mindflow - 🧠 AI-powered CLI git wrapper, boilerplate code generator, chat history manager, and code search engine to streamline your dev workflow 🌊

ask-your-stack - Ask your stack demo