Khushal Bhardwaj celeroncoder

Offline RAG Assistant: A Comparative Benchmark Report

1. Comparative Benchmark Analysis

A critical weakness is the lack of direct comparative benchmarks against the three most relevant alternative frameworks.

1.1. llama.cpp

llama.cpp is the standard for local LLM inference and serves as a key performance baseline. When it comes to prompt processing, llama.cpp significantly outperforms the assistant, achieving 137-189 tokens/s in batch mode compared to the assistant's 8.10 tokens/s—a roughly 15x performance gap that's likely due to Python/FastAPI overhead compared to llama.cpp's native C++ implementation [1]. However, token generation performance is much more comparable, with the assistant reaching 9.19 tokens/s versus llama.cpp's 9-18 tokens/s range. One advantage of llama.cpp is its minimal deployment overhead through a single binary, making it straightforward to set up and run.

Looking at your schema, I can see the actual structure is:

knowledgebase_entries (tenant_id, nucleus_id) → kb_content → kb_blocks (content)

Here are the only changes needed for your Prisma schema to support full-text search:

Prisma Schema Changes

model kb_blocks {

Follow this guidelines for the TODO API:

Create the following routes:

GET ALL Todos [GET /todo]
- Response:
```
{
  "data": [
    {
```

	#!/bin/bash

	# Default values
	ORIGIN="origin"
	ENV_FILE=""
	GH_ENV=""

	# Parse command line arguments
	while [[ "$#" -gt 0 ]]; do
	case $1 in

	#!/bin/bash

	# Thresholds
	LOW_BATTERY_THRESHOLD=30
	UNPLUG_THRESHOLD=80
	NOTIFICATION_INTERVAL=10

	# Track the last notified percentage
	last_notified_percentage=100

	#!/bin/bash

	# Check if .env file exists
	if [ ! -f .env ]; then
	echo ".env file not found!"
	exit 1
	fi

	# Read the repository name and owner
	REPO="your-username/your-repo" # Change this to your GitHub repo

	var block = document.getElementById("block");
	var hole = document.getElementById("hole");
	var score = document.getElementById("score");
	var start = document.getElementById("start");
	var restart = document.getElementById("restart");
	var modal = document.getElementById("modal");
	var root = document.querySelector(":root");
	var character = document.getElementById("character");
	var jumping = 0;
	var counter = 0;

	@import url('https://fonts.googleapis.com/css2?family=Poppins&display=swap');

	.gamestartbg {
	--frame1: url("/images/fly-frame-1.png");
	--frame2: url("/images/fly-frame-2.png");
	}

	body{
	width: 100vw;
	height: 100vh;

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<link rel="stylesheet" href="style.css">
	<link rel="icon" type="image/x-icon" href="https://img.icons8.com/avantgarde/100/bird.png">
	<title>Flappy Bird Game</title>
	</head>

	using namespace System.Management.Automation
	using namespace System.Management.Automation.Language

	if ($host.Name -eq 'ConsoleHost')
	{
	Import-Module PSReadLine
	}
	#Import-Module PSColors
	#Import-Module posh-git
	Import-Module -Name Terminal-Icons