⚡ Live Sandbox: AI Dev Tool: Doory OpenSource Canva

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```python
# AI Dev Tool: LLM Capability Evaluator and PostgreSQL Vector Search Integration
# ==============================================================================
# This tool evaluates the capability of a given Large Language Model (LLM) and
# integrates it with PostgreSQL Vector Search Extension for efficient querying.

import os
import psycopg2
from psycopg2 import errors
from typing import Dict, List
import numpy as np
from sentence_transformers import SentenceTransformer

# Define a function to evaluate LLM capability
def evaluate_llm_capability(llm_model: str, input_text: str) -> Dict:
    """
    Evaluates the capability of a given LLM model.

Args:
    - llm_model (str): The name of the LLM model to evaluate.
    - input_text (str): The input text to use for evaluation.

Returns:
    - A dictionary containing the evaluation results.
    """
    try:
        # Initialize the LLM model
        model = SentenceTransformer(llm_model)

# Generate embeddings for the input text
        embeddings = model.encode(input_text)

# Evaluate the capability of the LLM model
        capability = np.mean(embeddings)

# Return the evaluation results
        return {"llm_model": llm_model, "capability": capability

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