[FEATURE] Support for custom path in RAGStorage

[MahlerTom]

Added support for custom path in RAGStorage as for feature request #1658

The support is also extended to the EntityMemory and ShortTermMemory classes that initialize RAGStorage.
Finally, I added path to LongTermMemory for completeness.

Here are the tests I did (note that Oliver Kane is an AI-generated persona that ChatGPT generated for me):

import os

from crewai import Agent, Crew, Task
from crewai.memory import (
    EntityMemory,
    LongTermMemory,
    ShortTermMemory,
)
from crewai.memory.storage.ltm_sqlite_storage import LTMSQLiteStorage
from crewai_tools import tool

LONG_TERM_MEMORY_PATH = os.path.normpath(
    os.path.join(os.getcwd(), "db/long_term_memory_storage.db"),
)
SHORT_TERM_MEMORY_PATH = os.path.normpath(
    os.path.join(os.getcwd(), "db/short_term_memory_storage"),
)
ENTITY_MEMORY_PATH = os.path.normpath(
    os.path.join(os.getcwd(), "db/entity_memory_storage"),
)

long_term_memory = LongTermMemory(
    storage=LTMSQLiteStorage(db_path=LONG_TERM_MEMORY_PATH)
)

short_term_memory = ShortTermMemory(
    path=SHORT_TERM_MEMORY_PATH,
)
entity_memory = EntityMemory(
    path=ENTITY_MEMORY_PATH,
)


@tool("person-tool")
def person_tool() -> str:
    """Get information on Person.

    Returns:
        str: The information on Person.
    """
    return """Name: Oliver Kane
Age: 34
Gender: Male
Occupation: Freelance Photographer
Location: Portland, Oregon, USA

Background:
Oliver grew up in a small town in Colorado and moved to Portland in his late 20s to explore the Pacific Northwest's natural beauty. He's a self-taught photographer who specializes in outdoor and wildlife photography, often working with eco-tourism companies and environmental organizations. He occasionally contributes to local magazines and blogs about his travel adventures.

Education: Bachelor's Degree in Environmental Science, University of Colorado Boulder.

Hobbies:

* Hiking and camping in national parks.
* Collecting vintage cameras.
* Brewing his own kombucha.
* Volunteering at a local animal shelter.

Personality Traits:
* Adventurous and curious, always looking for the next big story to capture through his lens.
* A bit of a perfectionist when it comes to his work but laid-back in his personal life.
* Loves striking up conversations with strangers, especially when traveling.

Goals:
* To publish a coffee table book featuring his favorite photos from around the world.
* To visit and photograph Antarctica within the next three years.
* To adopt a rescue dog when his schedule allows more stability."""


def main():
    agent = Agent(
        role="Learn Person Agent",
        goal="Save information on person to memory",
        backstory="You have a person_tool tool that provides information about a person. You use this tool to enrich your memory.",
        tools=[person_tool],
        llm="gpt-4o-mini",
    )

    task = Task(
        name="Learn about person",
        description="Learn about a person using your person_tool.",
        expected_output="Information about the person",
        agent=agent,
    )

    crew1 = Crew(
        tasks=[task],
        agents=[agent],
        memory=True,
        long_term_memory=long_term_memory,
        short_term_memory=short_term_memory,
        entity_memory=entity_memory,
    )

    crew1.kickoff()

    print("#" * 50)
    print("Done learning about person.")
    print("#" * 50)

    agent2 = Agent(
        role="Recall Person Agent",
        goal="Recall information on person from memory",
        backstory="You have a memory with information on a person, you need to recall information on that person.",
        llm="gpt-4o-mini",
    )

    task2 = Task(
        name="Get information on Oliver Kane",
        description="Look in your memory, What are the goals of Oliver Kane?",
        expected_output="Only the three goals of Oliver Kane if you know them, otherwise, say you don't know.",
        agent=agent2,
    )

    crew2 = Crew(
        tasks=[task2],
        agents=[agent2],
        memory=True,
        long_term_memory=long_term_memory,
        short_term_memory=short_term_memory,
        entity_memory=entity_memory,
    )

    crew2.kickoff()


if __name__ == "__main__":
    main()

First, I run the above test which creates the db in the designated path with the memory.
The expected output is the correct 3 goals of Oliver Kane.

Then, I run the above test a second time, commenting out the crew1.kickoff() so that it will not be able to learn from the second run.
The expected output is the correct 3 goals of Oliver Kane that was learned from the first run.