Fixing the fact extraction prompt

[PranavPuranik]

Description

This is prompt engineering.

I think each model should have its own prompt. We can use inheritance and tweak one of two things as required.

Please test this with other models. I removed what I felt was double.

Fixes #1971

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Refactor (does not change functionality, e.g. code style improvements, linting)
• Documentation update

How Has This Been Tested?

Tested on

from mem0 import Memory

config = {
    "llm": {
        "provider": "ollama",
        "config": {
            "model": "llama3.1:latest",
            "temperature": 0,
            "max_tokens": 8000,
            "ollama_base_url": "http://localhost:11434",  # Ensure this URL is correct
        },
    },
    "embedder": {
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text:latest",
            # Alternatively, you can use "snowflake-arctic-embed:latest"
            "ollama_base_url": "http://localhost:11434",
        },
    },
    "vector_store": {
        "provider": "qdrant",
        "config": {
            "collection_name": "test",
            "embedding_model_dims": 768,
        }
    },
    "version": "v1.1",
}

# Initialize Memory with the configuration
m = Memory.from_config(config)

# Add a memory
m.add("I'm visiting Paris", user_id="john")
m.add("I like pizza", user_id="john")

# Retrieve memories
memories = m.get_all()
print(memories)

Please delete options that are not relevant.

• Unit Test
• Test Script (please provide)

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Any dependent changes have been merged and published in downstream modules
• I have checked my code and corrected any misspellings

Maintainer Checklist

• closes #xxxx (Replace xxxx with the GitHub issue number)
• Made sure Checks passed