如何使用 OpenAI 處理 PDF
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OpenAI 是一家人工智慧研究實驗室，由營利性公司 OpenAI LP 和其非營利母公司 OpenAI Inc. 組成。它成立的目標是以造福全人類的方式推進數位智慧。OpenAI 在人工智慧的各個領域進行研究。 (人工智慧) 和旨在開發安全、有益且可訪問的AI技術。 IronPdf.Extensions.AI NuGet 套件現在支持 OpenAI 用於 PDF 增強：摘要、查詢和記憶。該套件利用了 Microsoft 語義內核.
如何使用 OpenAI 處理 PDF
- 下載C#庫以使用OpenAI處理PDF
- 準備 Azure 端點和 OpenAI 的 API 金鑰
- 匯入目標 PDF 文件
- 使用
總結生成 PDF 摘要的方法 - 使用
查詢持續查詢的方法
立即開始在您的專案中使用IronPDF，並享受免費試用。
查看 IronPDF 上 Nuget 快速安裝和部署。已被下載超過800萬次，它正用C#改變PDF。
請考慮安裝 IronPDF DLL 直接下載並手動安裝到您的專案或GAC表單： IronPdf.zip
概要 PDF 示例
要使用 OpenAI 功能，需要 Azure 端點和 API 密鑰。按照下面的代碼示例配置語義內核。導入 PDF 文件並使用 Summarize 方法生成 PDF 文件的摘要。您可以下載示例 PDF 文件 這裡.
:path=/static-assets/pdf/content-code-examples/how-to/openai-summarize.csusing IronPdf;
using IronPdf.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Memory;
using System;
using System.Threading.Tasks;
// Setup OpenAI
string azureEndpoint = "AzureEndPoint";
string apiKey = "APIKEY";
var volatileMemoryStore = new VolatileMemoryStore();
var builder = new KernelBuilder()
.WithAzureTextEmbeddingGenerationService("oaiembed", azureEndpoint, apiKey)
.WithAzureChatCompletionService("oaichat", azureEndpoint, apiKey)
.WithMemoryStorage(volatileMemoryStore);
var kernel = builder.Build();
// Initialize IronAI
IronAI.Initialize(kernel);
// Import PDF document
PdfDocument pdf = PdfDocument.FromFile("wikipedia.pdf");
// Summarize the document
string summary = await pdf.Summarize(); // optionally pass AI instance or use AI instance directly
Console.WriteLine($"Document summary: {summary}");Imports IronPdf
Imports IronPdf.AI
Imports Microsoft.SemanticKernel
Imports Microsoft.SemanticKernel.Memory
Imports System
Imports System.Threading.Tasks
' Setup OpenAI
Private azureEndpoint As String = "AzureEndPoint"
Private apiKey As String = "APIKEY"
Private volatileMemoryStore = New VolatileMemoryStore()
Private builder = (New KernelBuilder()).WithAzureTextEmbeddingGenerationService("oaiembed", azureEndpoint, apiKey).WithAzureChatCompletionService("oaichat", azureEndpoint, apiKey).WithMemoryStorage(volatileMemoryStore)
Private kernel = builder.Build()
' Initialize IronAI
IronAI.Initialize(kernel)
' Import PDF document
Dim pdf As PdfDocument = PdfDocument.FromFile("wikipedia.pdf")
' Summarize the document
Dim summary As String = Await pdf.Summarize() ' optionally pass AI instance or use AI instance directly
Console.WriteLine($"Document summary: {summary}")VB C#
輸出摘要
連續查詢範例
單一查詢可能不適用於所有情境。 IronPdf.Extensions.AI 該套件還提供了一個 Query 方法，允許用戶執行連續查詢。
:path=/static-assets/pdf/content-code-examples/how-to/openai-query.csusing IronPdf;
using IronPdf.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Memory;
using System;
using System.Threading.Tasks;
// Setup OpenAI
string azureEndpoint = "AzureEndPoint";
string apiKey = "APIKEY";
var volatileMemoryStore = new VolatileMemoryStore();
var builder = new KernelBuilder()
.WithAzureTextEmbeddingGenerationService("oaiembed", azureEndpoint, apiKey)
.WithAzureChatCompletionService("oaichat", azureEndpoint, apiKey)
.WithMemoryStorage(volatileMemoryStore);
var kernel = builder.Build();
// Initialize IronAI
IronAI.Initialize(kernel);
// Import PDF document
PdfDocument pdf = PdfDocument.FromFile("wikipedia.pdf");
// Continuous query
while (true)
{
Console.Write("User Input: ");
var response = await pdf.Query(Console.ReadLine());
Console.WriteLine($"\n{response}");
}Imports Microsoft.VisualBasic
Imports IronPdf
Imports IronPdf.AI
Imports Microsoft.SemanticKernel
Imports Microsoft.SemanticKernel.Memory
Imports System
Imports System.Threading.Tasks
' Setup OpenAI
Private azureEndpoint As String = "AzureEndPoint"
Private apiKey As String = "APIKEY"
Private volatileMemoryStore = New VolatileMemoryStore()
Private builder = (New KernelBuilder()).WithAzureTextEmbeddingGenerationService("oaiembed", azureEndpoint, apiKey).WithAzureChatCompletionService("oaichat", azureEndpoint, apiKey).WithMemoryStorage(volatileMemoryStore)
Private kernel = builder.Build()
' Initialize IronAI
IronAI.Initialize(kernel)
' Import PDF document
Dim pdf As PdfDocument = PdfDocument.FromFile("wikipedia.pdf")
' Continuous query
Do
Console.Write("User Input: ")
Dim response = Await pdf.Query(Console.ReadLine())
Console.WriteLine($vbLf & "{response}")
LoopVB C#
