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Gen AI apps are built with MongoDB Atlas
The database for AI-powered applications.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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
J2J provides an intuitive way to convert Java to JSON and JSON to Java. Annotate any Java class then use JsonWriter to emit JSON from java or JsonReader to convert JSON to java objects. (source code and tutorial included) Version 2.0 in development.
Java Object Notation is an extension to the JSON data format suitable for the serialization of Java objects. The intuitive format and the simple yet extensible library allow both humans and computers to read and write complex object graphs.
Xion (pronounced "zaion") is a text-based serialization format of object states. Xion extends the JSON format by permitting "tagged" notations. This project provides an implementation of Xion in Java, including the object model, parser and utilities.
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