OpenSearch-Dashboards
Weaviate
OpenSearch-Dashboards | Weaviate | |
---|---|---|
6 | 77 | |
1,571 | 9,790 | |
3.5% | 5.6% | |
9.8 | 10.0 | |
2 days ago | about 20 hours ago | |
TypeScript | Go | |
Apache License 2.0 | 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.
OpenSearch-Dashboards
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HashiCorp Adopts Business Source License
I hate OpenSearch with a passion, an absolutely horrid lagging project that can't get basic autocomplete working (https://github.com/opensearch-project/OpenSearch-Dashboards/...)
but still manages to suck the air out of the room when you want Elasticsearch because AWS already has the company's billing details and no one wants to figure out paying another provider.
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Using Apache Kafka® and OpenSearch® to explore Mastodon data
Time to look at the data in OpenSearch with the help of OpenSearch Dashboards!
- An alternative to Elasticsearch that runs on a few MBs of RAM
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Documenting server communication ports and IPs
Create dashboards to show and graph whatever you want. - https://opensearch.org/docs/latest/dashboards/index/
- AWS Rilis Fork Sumber Terbuka Elasticsearch, OpenSearch
- AWS releases forked Elasticsearch code. Announces new name: OpenSearc
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?
graylog - Free and open log management
Milvus - A cloud-native vector database, storage for next generation AI applications
docusaurus-search-local - Offline / Local Search for Docusaurus v2. Try it live at:
faiss - A library for efficient similarity search and clustering of dense vectors.
OpenSearch - 🔎 Open source distributed and RESTful search engine.
pgvector - Open-source vector similarity search for Postgres
vector - A high-performance observability data pipeline.
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Toshi - A full-text search engine in rust
jina - ☁️ Build multimodal AI applications with cloud-native stack
opensearch - OpenSearch is a collection of simple formats for the sharing of search results.
vald - Vald. A Highly Scalable Distributed Vector Search Engine