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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services.
JSON data manipulation library, built for simplicity.
Create JSON object from common data types (array, list and dictionary). Parser is based on regular expressions and can handle nested structures. Access data using implicit typecast.
Tutorial with all examples included. For details visit Wiki section.
New in v2.0.0: Added serialization and deserialization methods!!!
parse/generate json the way you want quickly. configure/validate json
- quick-json features -
# Compliant with JSON specification (RFC4627)
# High-Performance JSON parser
# Supports Flexible/Configurable parsing approach
# Configurable validation of key/value pairs of any JSON Heirarchy
# Easy to use # Very Less foot print
# Raises developer friendly and easy to trace exceptions
# Pluggable Custom Validation support - Keys/Values can be validated by configuring custom validators as and when encountered
# Validating and Non-Validating parser support
# Support for two types of configuration (JSON/XML) for using quick-json validating parser
# Require JDK 1.5 # No dependency on external libraries
# Support for Json Generation through object serialization
# Support for collection type selection during parsing process