Weaviate
alvd
Our great sponsors
| Weaviate | alvd | |
|---|---|---|
| 76 | 1 | |
| 9,359 | 50 | |
| 4.0% | - | |
| 10.0 | 0.0 | |
| 5 days ago | almost 3 years 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.
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Pros and cons of vector search in elastic?
Highly opinionated as I'm working for Weaviate, so take my comment with a large portion of salt.
My highly opinionated view is that for Elastic, they're not really open source and the dependency on Java of the Lucene ecosystem is a big disadvantage, so as you already said, speed, they're getting better at this, but if you need to scale, this problem scales with you.
So if you already have ELK stack and don't need to scale, sure go for it otherwise, Weaviate offers real open source, so use it for free on your own infrastructure https://github.com/weaviate/weaviate
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Lost on LangChain: Can someone help with the Question Answer concept?
If you do not wish to store your private data on pinecone you can use open source alternatives like Weaviate where you can spin up your own instance. Other option could be to use Agents. You'll need to find sutaible agent for your database which will allow LLMs to directly query data from your private database.
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Questions about memory, tree-of-thought, planning
I tried cromadb but had terrible performance and could not pin down the cause (likely a problem on my end). Weaviate was easy to setup and had excellent performance, this is probably what I will use in the future. Next on my list is txtinstruct, to finetune a model with data that does not change and using a vector db for everything else seems promising.
alvd
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Vald: A Highly Scalable Distributed Vector Search Engine
This might be of interest to some - Vald without the Kubernetes requirement (or integration): https://github.com/rinx/alvd
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
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
jina - ☁️ Build multimodal AI applications with cloud-native stack
vald - Vald. A Highly Scalable Distributed Vector Search Engine
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
go - The Go programming language
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
filter - Simple apply/filter/reduce package.