litebox
Weaviate
litebox | Weaviate | |
---|---|---|
2 | 77 | |
5 | 9,641 | |
- | 4.2% | |
0.0 | 10.0 | |
over 1 year ago | about 11 hours ago | |
Python | Go | |
MIT License | BSD 3-clause "New" or "Revised" License |
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litebox
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[D] What features would you like to see in a vector search database?
After playing with ANNOY and FAISS for a little while, I hit exactly that problem. I ended up writing two Python libraries for fast "object search by metadata" - FilterBox and LiteBox. They are both designed to complement vector search, as they only deal with the metadata portion of the objects and leave the vectors alone.
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Does anyone here use sqlite just to do quick queries, because it is easier than loading to another rdb?
Yep. I even wrote a container called LiteBox to make it quicker syntax-wise.
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?
vector-search-compilation - A compilation of Vector Search Databases
Milvus - A cloud-native vector database, storage for next generation AI applications
filterbox - Index your Python objects for fast lookup by their attributes. [Moved to: https://github.com/manimino/ducks]
faiss - A library for efficient similarity search and clustering of dense vectors.
reframe - LeapTable 🦘- The fastest way to build, deploy, and manage LLM-powered agents on tabular data (dataframes, SQL tables and Spreadsheets). [Moved to: https://github.com/peterwnjenga/leaptable]
pgvector - Open-source vector similarity search for Postgres
datasette - An open source multi-tool for exploring and publishing data
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
sqlite-utils - Python CLI utility and library for manipulating SQLite databases
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