First, we need to install Pygame if it's not already installed. You can do this by running:
pip install pygame
At the beginning of our script, we import necessary modules from Pygame:
To create a custom chat agent with persistent conversation contexts, you have several options for storing and managing the conversation data. Both SQL and graph databases can be used effectively, depending on your specific requirements and preferences. Here’s a detailed comparison and guidance on implementing persistence with each type:
A SQL database is a good choice if your data model is relatively simple and you prefer a structured, relational approach. Here’s how you could implement it:
import os | |
import fitz # PyMuPDF | |
from llama_index import GPTSimpleVectorIndex, SimpleDirectoryReader, LLMPredictor, ServiceContext, Document | |
from llama_index.prompts import PromptTemplate | |
from ollama_llama import Llama | |
class PDFDirectoryReader(SimpleDirectoryReader): | |
def __init__(self, directory_path): | |
self.directory_path = directory_path |
Definition:
Purpose:
LangChain and LlamaIndex (formerly known as GPT Index) are both frameworks designed to facilitate working with large language models (LLMs) and building AI-driven applications. Each has its strengths, and the choice between them can depend on specific needs and use cases. Below are some comparative advantages of using LangChain over LlamaIndex:
Comprehensive Tooling and Ecosystem:
Flexibility and Customization:
OpenAI provides a variety of API endpoints for interacting with their models, including those for text generation, embeddings, fine-tuning, and more. Here are some key endpoints you can use:
POST https://api.openai.com/v1/engines/{engine_id}/completions
{
"model": "text-davinci-003",
"prompt": "Once upon a time,",
"max_tokens": 100,
buildscript { | |
repositories { | |
mavenCentral() | |
} | |
dependencies { | |
classpath 'org.springframework.boot:spring-boot-gradle-plugin:2.6.1' | |
} | |
} | |
plugins { |
{ | |
"openapi": "3.0.0", | |
"info": { | |
"title": "Sample API", | |
"description": "Optional multiline or single-line description in [CommonMark](http://commonmark.org/help/) or HTML.", | |
"version": "0.1.9" | |
}, | |
"servers": [ | |
{ | |
"url": "http://api.example.com/v1", |