milvus-lite
Weaviate
| milvus-lite | Weaviate | |
|---|---|---|
| 4 | 76 | |
| 148 | 9,524 | |
| 7.4% | 3.0% | |
| 5.7 | 10.0 | |
| 1 day ago | 5 days ago | |
| Python | Go | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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milvus-lite
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Simplifying the Milvus Selection Process
Github Repository
- FLaNK Stack Weekly 16 October 2023
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Vector databases: analyzing the trade-offs
Shameless self-plug for our embedded vector database milvus-lite (https://github.com/milvus-io/milvus-lite):
pip install milvus -
Vector database built for scalable similarity search
Don't start with Milvus clustered version, not unless you have like 100million vectors.
Try Milvus standalone instead, much simpler. I also just found their python version (https://github.com/milvus-io/embd-milvus), which is quite neat.
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
What are some alternatives?
vespa - AI + Data, online. https://vespa.ai
Milvus - A cloud-native vector database, storage for next generation AI applications
examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
faiss - A library for efficient similarity search and clustering of dense vectors.
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
pgvector - Open-source vector similarity search for Postgres
kafka-ui - Open-Source Web UI for Apache Kafka Management
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
karapace - Karapace - Your Apache Kafka® essentials in one tool
jina - ☁️ Build multimodal AI applications with cloud-native stack
CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock
vald - Vald. A Highly Scalable Distributed Vector Search Engine