"""Create fact_checker
Generated by Phi-Octopus Eden
2025-11-06 13:12:10.209570
"""

```python
from typing import List, Dict
from functools import lru_cache

class FactChecker:
    """
    A class to check facts against a provided knowledge base.
    Utilizes limited reasoning by caching results for efficiency and avoiding redundant checks.
    """

    def __init__(self, knowledge_base: List[Dict[str, str]]):
        """
        Initialize the fact checker with a knowledge base.

        :param knowledge_base: A list of dictionaries where each dictionary contains key-value pairs as facts.
        """
        self.knowledge_base = knowledge_base

    @lru_cache(maxsize=1024)
    def check_fact(self, fact: str) -> bool:
        """
        Check if a given fact is present in the knowledge base.

        :param fact: The fact to check. Should be a string.
        :return: True if the fact is found in the knowledge base, False otherwise.
        """
        for entry in self.knowledge_base:
            if fact in entry.values():
                return True
        return False

    def find_facts(self, search_term: str) -> List[str]:
        """
        Find facts containing a specific term.

        :param search_term: The term to look for within the facts.
        :return: A list of facts that contain the search term.
        """
        matching_facts = []
        for entry in self.knowledge_base:
            if any(search_term.lower() in value.lower() for value in entry.values()):
                matching_facts.append(str(entry))
        return matching_facts


# Example usage
knowledge_base = [
    {"date": "2019-05-23", "event": "AI Conference"},
    {"year": "2021", "notion": "Artificial Intelligence"}
]

checker = FactChecker(knowledge_base)
print(checker.check_fact("2019"))  # True
print(checker.find_facts("AI"))     # ['{"date": "2019-05-23", "event": "AI Conference"}', '{"year": "2021", "notion": "Artificial Intelligence"}']
```