milvus-lite VS autofaiss

Compare milvus-lite vs autofaiss and see what are their differences.

milvus-lite

A lightweight version of Milvus wrapped with Python. (by milvus-io)

autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters. (by criteo)
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milvus-lite autofaiss
4 3
148 748
9.6% 4.5%
5.7 5.6
about 14 hours ago 5 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.

milvus-lite

Posts with mentions or reviews of milvus-lite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

autofaiss

Posts with mentions or reviews of autofaiss. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.
  • You Don't Need LangChain;
    1 project | news.ycombinator.com | 18 Sep 2023
    I might be wrong here. I just know some product quantization techniques, but you can reduce the index by a lot! However, from my research, the more size you reduce, the more retrieval quality is also reduced.

    Quoting from https://github.com/criteo/autofaiss

  • Cheapest Vector Database
    1 project | /r/MLQuestions | 12 Jun 2023
    Autofaiss - https://github.com/criteo/autofaiss can be configured to make extremely tiny and efficient indexes.
  • Vector database built for scalable similarity search
    19 projects | news.ycombinator.com | 25 Mar 2023
    Don't start with mullivus if you're learning. Too much yak shaving. Try https://github.com/criteo/autofaiss.

    Also, TBH, it is a lot cheaper to run a simple faiss index.

What are some alternatives?

When comparing milvus-lite and autofaiss you can also consider the following projects:

vespa - AI + Data, online. https://vespa.ai

examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.

sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!

typesense-instantsearch-semantic-search-demo - A demo that shows how to build a semantic search experience with Typesense's vector search feature and Instantsearch.js

kafka-ui - Open-Source Web UI for Apache Kafka Management

towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

karapace - Karapace - Your Apache Kafka® essentials in one tool

pgvector - Open-source vector similarity search for Postgres

CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock

Milvus - A cloud-native vector database, storage for next generation AI applications