reor VS Weaviate

Compare reor vs Weaviate and see what are their differences.

reor

Self-organizing AI note-taking app that runs models locally. (by reorproject)

Weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​. (by weaviate)
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reor Weaviate
7 77
4,235 9,587
7.9% 3.7%
9.9 10.0
7 days ago 6 days ago
TypeScript Go
GNU Affero General Public License v3.0 BSD 3-clause "New" or "Revised" 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.

reor

Posts with mentions or reviews of reor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-03.

Weaviate

Posts with mentions or reviews of Weaviate. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-13.

What are some alternatives?

When comparing reor and Weaviate you can also consider the following projects:

pong-wars

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

obsidian-releases - Community plugins list, theme list, and releases of Obsidian.

faiss - A library for efficient similarity search and clustering of dense vectors.

Deep_Object_Pose - Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

pgvector - Open-source vector similarity search for Postgres

get-the-news-rss-atom-feed-summary - Get a summary of the most recent news from an RSS or Atom feed using Amazon Bedrock.

qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

java-snapshot-testing - Facebook style snapshot testing for JAVA Tests

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

llm-classifier - Classify data instantly using an LLM

vald - Vald. A Highly Scalable Distributed Vector Search Engine