reor
Weaviate
reor | Weaviate | |
---|---|---|
7 | 77 | |
6,169 | 9,713 | |
36.8% | 4.9% | |
9.9 | 10.0 | |
about 19 hours ago | 7 days ago | |
TypeScript | Go | |
GNU Affero General Public License v3.0 | BSD 3-clause "New" or "Revised" License |
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
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
[4] https://github.com/reorproject/reor
- FLaNK Stack Weekly 19 Feb 2024
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Show HN: Reor – An AI note-taking app that runs models locally
Seems promising, but I couldn't get it to work at all. Seems like I'm not the only one having issues: https://github.com/reorproject/reor/issues
- FLaNK Stack 29 Jan 2024
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Went down the rabbit hole of 100% local RAG, it works but are there better options?
I am working on local RAG that encapsulates all the embedding & llm logic inside of an electron app. It is meant to be kind of a writing/personal knowledge management app powered by local models: https://github.com/reorproject/reor
Weaviate
- Weaviate – A cloud-native, open-source vector database
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
- FLaNK Stack 29 Jan 2024
- Qdrant, the Vector Search Database, raised $28M in a Series A round
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How to use Weaviate to store and query vector embeddings
In this tutorial, I introduce Weaviate, an open-source vector database, with the thenlper/gte-base embedding model from Alibaba, through Hugging Face's transformers library.
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Choosing vector database: a side-by-side comparison
This will be solved in Weaviate https://github.com/weaviate/weaviate/issues/2424
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Who's hiring developer advocates? (October 2023)
Link to GitHub -->
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Do we think about vector dbs wrong?
Hey @rvrs, I work on Weaviate and we are doing some improvements around increasing write throughput:
1. gRPC. Using gRPC to write vectors has had a really nice performance boost. It is released in Weaviate core but here is still some work on do on the clients. Feel free to get in contact if you would like to try it out.
2. Parameter tuning. lowering `efConstruction` can speed up imports.
3. We are also working on async indexing https://github.com/weaviate/weaviate/issues/3463 which will further speed things up.
In comparison with pgvector, Weaviate has more flexible query options such as hybrid search and quantization to save memory on larger datasets.
- Weaviate vector database
- Weaviate 1.21: Support for ImageBind and GPT4all and more
What are some alternatives?
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