milvus-lite
awesome-vector-search
milvus-lite | awesome-vector-search | |
---|---|---|
4 | 20 | |
148 | 1,275 | |
7.4% | 2.5% | |
5.7 | 6.1 | |
1 day ago | 20 days ago | |
Python | ||
Apache License 2.0 | MIT 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
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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.
awesome-vector-search
- Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
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Reality check on good embedding model (and this idea in general)
Probably. But there are a number of free open source ones. For example, I've got a document that I'm doing embedding-keys for that has about 8000 sentences. Here's a list of some [ https://github.com/currentslab/awesome-vector-search ]
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Rye, meet GPT3 ... and vice versa :)
note: search for vector databases not written in Go but with Go clients, in case there is anything more local/lightweight: https://github.com/currentslab/awesome-vector-search
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Vector database built for scalable similarity search
https://github.com/currentslab/awesome-vector-search
I was surprised to see Elastic actually has ok support for some of this stuff, though it appears slower for most of the tasks.
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[P] My co-founder and I quit our engineering jobs at AWS to build “Tensor Search”. Here is why.
Supporting sequence of vectors does seems like a fresh air to the vector search service. I have added marqo to the list of awesome vector search (disclosure: I am the maintainer of the list) to increase your exposure.
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What are vector search engines?
If you want a proper curated list of various libraries and standalone services of vector search engines, refer to this awesome GitHub repository by Currents API.
- List of vector search libraries
- List of curated vector search libraries
- A GitHub repository that collects awesome vector search framework/engine, library, cloud service, and research papers
- Find anything fast with Google's vector search technology
What are some alternatives?
vespa - AI + Data, online. https://vespa.ai
pgvector - Open-source vector similarity search for Postgres
examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
kafka-ui - Open-Source Web UI for Apache Kafka Management
Milvus - A cloud-native vector database, storage for next generation AI applications
karapace - Karapace - Your Apache Kafka® essentials in one tool
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.