Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques, or a modern vector based approach. You can even combine both approaches efficiently in the same query, something no other engine can do.
Recommendation and personalization
Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information
Providing direct answers to questions is useful when creating chatbots, virtual assistants, and to answer some search queries. Modern question answerers combine evaluation of transformer based language models with efficient retrieval of candidate text snippets. Vespa makes it easy to build question answering systems combining the state of the art in research with performance suitable for production.
Applications such as e-commerce use a combination of structured data and text and need to provide structured navigation - grouping data dynamically for navigation and filtering - in combination with search and recommendation. Vespa provides all the features required for this with great performance, which makes it possible to realize functionally complete applications leveraging structured data on a unified architecture.
They just released their 8th version and it looks like a worth alternative to ElasticSearch.
RulesEngine is a highly extensible library to build rule based system using C# expressions Features
- Json based rules definition
- Multiple input support
- Dynamic object input support
- C# Expression support
- Extending expression via custom class/type injection
- Scoped parameters
- Post rule execution actions
More from the Github Readme
Rules Engine is a library/NuGet package for abstracting business logic/rules/policies out of a system. It provides a simple way of giving you the ability to put your rules in a store outside the core logic of the system, thus ensuring that any change in rules don't affect the core system.
You can find their roadmap here.
If you misse it, ReScript is a rebrand of BuckleScript.
With modern implementations there’s a lot of overlap between message brokers and queueing systems. They’re similar: they share similar interfaces (sending and receiving events); they share many features; and they’re both used in complex products or at scale.
While similar, they’re (typically) used for different purposes. We thought we should break down the general distinction between the two and their general use cases, helping answer the question of ‘when should I use a queue vs a message bus’?