2 dépôts
Strategies for ensuring data consistency between memory caches and primary data stores at the object level.
Distinct from Data Consistency Models: Existing candidates focus on distributed system consistency (CAP) or structural integrity; this is about ORM-level memory consistency.
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Hyperf is a high-performance PHP coroutine framework designed for building microservices and middleware. It utilizes non-blocking coroutines to handle high concurrency and low-latency request processing, providing a foundation for scalable distributed systems. The framework is distinguished by an aspect-oriented programming based dependency injector that enables pluggable components and meta-programming. It includes a coroutine-optimized object-relational mapper with integrated model caching and an orchestration toolkit for microservice governance, featuring service discovery, circuit breaker
Stores database results in fast-access memory to minimize system strain while maintaining data consistency.
docetl is an AI-powered document ETL tool and map-reduce orchestrator designed to transform large collections of unstructured documents into structured, queryable tables using language models. It provides a declarative pipeline framework for extracting, cleaning, and transforming data from sources such as PDFs and text files into predefined schemas. The project distinguishes itself through a semantic data integration suite that enables joining datasets and resolving duplicate entities based on embedding-based similarity. It includes an interactive prompt playground for developing and optimizi
Ensures consistent scoring across datasets by generating reference anchors for the prompt via document sampling.