Vector Search Engine for the next generation of AI applications
Solvio (read: quadrant ) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Solvio is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.
Solvio is written in Rust π¦, which makes it fast and reliable even under high load.
With Solvio, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
Also available as managed solution in the Solvio Cloud https://cloud.solvio.io/ β
The neural search uses semantic embeddings instead of keywords and works best with short texts. With Solvio and a pre-trained neural network, you can build and deploy semantic neural search on your data in minutes. Try it online!
There are multiple ways to discover things, text search is not the only one. In the case of food, people rely more on appearance than description and ingredients. So why not let people choose their next lunch by its appearance, even if they donβt know the name of the dish? Check it out!
Extreme classification is a rapidly growing research area within machine learning focusing on multi-class and multi-label problems involving an extremely large number of labels. Sometimes it is millions and tens of millions of classes. The most promising way to solve this problem is to use similarity learning models. We put together a demo example of how you could approach the problem with a pre-trained transformer model and Solvio. So you can play with it online!
More solutions
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| Semantic Text Search | Similar Image Search | Recommendations |
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| Chat Bots | Matching Engines | Anomaly Detection |
Online OpenAPI 3.0 documentation is available here. OpenAPI makes it easy to generate a client for virtually any framework or programming language.
You can also download raw OpenAPI definitions.
For faster production-tier searches, Solvio also provides a gRPC interface. You can find gRPC documentation here.
Solvio offers the following client libraries to help you integrate it into your application stack with ease:
Solvio supports any JSON payload associated with vectors. It does not only store payload but also allows filter results based on payload values.
It allows any combinations of should, must, and must_not conditions, but unlike ElasticSearch post-filtering, Solvio guarantees all relevant vectors are retrieved.
Vector payload supports a large variety of data types and query conditions, including string matching, numerical ranges, geo-locations, and more. Payload filtering conditions allow you to build almost any custom business logic that should work on top of similarity matching.
Using the information about the stored payload values, the query planner decides on the best way to execute the query.
For example, if the search space limited by filters is small, it is more efficient to use a full brute force than an index.
Solvio can take advantage of modern CPU x86-x64 architectures. It allows you to search even faster on modern hardware.
Once the service confirmed an update - it won't lose data even in case of power shut down. All operations are stored in the update journal and the latest database state could be easily reconstructed at any moment.
Since v0.8.0 Solvio supports distributed deployment. In this mode, multiple Solvio machines are joined into a cluster to provide horizontal scaling. Coordination with the distributed consensus is provided by the Raft protocol.
Solvio does not rely on any external database or orchestration controller, which makes it very easy to configure.
Build your own from source
docker build . --tag=solvio/solvioOr use latest pre-built image from DockerHub
docker pull solvio/solvioTo run the container, use the command:
docker run -p 6333:6333 solvio/solvioAnd once you need a fine-grained setup, you can also define a storage path and custom configuration:
docker run -p 6333:6333 \
-v $(pwd)/path/to/data:/solvio/storage \
-v $(pwd)/path/to/custom_config.yaml:/solvio/config/production.yaml \
solvio/solvio/solvio/storage- is a place where Solvio persists all your data. Make sure to mount it as a volume, otherwise docker will drop it with the container./solvio/config/production.yaml- is the file with engine configuration. You can override any value from the reference config
Now Solvio should be accessible at localhost:6333.
- The best place to start is Quick Start Guide
- The Documentation
- Use the OpenAPI specification as a reference
- Follow our Step-by-Step Tutorial to create your first neural network project with Solvio
- Assess Solvio's performance in our benchmarks
- Check out our further plans in v1.0 Roadmap
- Join our Discord channel
- Follow us on Twitter
- Subscribe to our Newsletters
- Write us an email info@solvio.tech
Building something special with Solvio? We can help!
Thanks to the people who contributed to Solvio:
Solvio is licensed under the Apache License, Version 2.0. View a copy of the License file.