Weaviate
vald
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| Weaviate | vald | |
|---|---|---|
| 76 | 13 | |
| 9,436 | 1,453 | |
| 4.8% | 1.2% | |
| 10.0 | 9.4 | |
| 5 days ago | 5 days ago | |
| Go | Go | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
Weaviate
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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
- Weaviate Vector Database
vald
- What is the reason for using go mod replace like this?
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Top 10 Best Vector Databases & Libraries
Vald (1.2k ⭐) → A highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data.
- open-source google-like search for workplace knowledge
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[P] Embeddinghub: A vector database built for ML embeddings
Another approximate nearest neighbor system to look at: https://vald.vdaas.org/
- Vector Search Indexes
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Vald: a highly scalable distributed fast approximate nearest neighbour dense vector search engine.
Web: https://vald.vdaas.org
GitHub: https://github.com/vdaas/vald
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Hacker News top posts: Apr 9, 2021
Vald: A Highly Scalable Distributed Vector Search Engine\ (26 comments)
- Vald: A Highly Scalable Distributed Vector Search Engine
What are some alternatives?
Milvus - A cloud-native vector database, storage for next generation AI applications
faiss - A library for efficient similarity search and clustering of dense vectors.
pgvector - Open-source vector similarity search for Postgres
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
alvd - alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.
jina - ☁️ Build multimodal AI applications with cloud-native stack
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk