Roadmap for Semantix v0.2

[chandralegend]

1. Simplify Agent Creation: Inspired by OpenAI’s Swarm, we aim to make agent creation effortless while outperforming Instructor in generating structured outputs.

2. Introduce Retrieval for RAG Applications: Introduce retrieval capabilities to support advanced RAG (Retrieval-Augmented Generation) application development.

3. Boost Reliability: Strengthen how Semantix handles Python’s frames and modules for tasks like variable tracking, ensuring more robust performance.

4. Runtime Type Checking and Validation: Extend runtime validation beyond Pydantic to cover standard constructs, providing more comprehensive type-checking.

5. Improved Error Handling: Develop more sophisticated error-handling mechanisms to increase the system's resilience and accuracy.