abhishekmishragithub

Workshop Title:

Building Agents with Retrieval-Augmented Generation (RAG) and Function Calling

Workshop Plan

Date: July 6th

Duration: 3-4 hours

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abhishekmishragithub

mkdir mybuild

cd mybuild/

cmake -Dgtest_build_tests=ON -Dgmock_build_tests=ON $GTEST_REPO_DIR ..

make

make test

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select * from information_schema.key_column_usage
where constraint_catalog=current_catalog and table_name='your_table_name'
and position_in_unique_constraint notnull;

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Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

abhishekmishragithub

import pyfiglet
from rich import box
from rich.console import Console, Group
from rich.markdown import Markdown
from rich.panel import Panel
from rich.text import Text
from time import sleep
from rich.align import Align

console = Console()

abhishekmishragithub

In short:

Parameter	Monitoring	Observability
Purpose	Detect and alert on issues/problems	Understand the state of a system
What/Which Data?	Predetermined metrics and logs	All telemetry data
Goal is to	Identify problems	Understand why problems occur
Method	Reactive	Proactive

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Primitive Types

Integer

Declares an integer x with value 1.

let x: i32 = 1;

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import boto3
import pandas as pd
import numpy as np
from datetime import datetime, timedelta
import random
from rich.progress import Progress
import time

def create_dataset(file_name, num_rows, start_date, end_date):
    """Create a dataset"""

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version: '3'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:7.3.0
    hostname: zookeeper
    container_name: zookeeper
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

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import csv
import requests
import pandas as pd
import logging
import json
# Set up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# Your ClickUp API token
api_token = ""