العودة لتكاملات Orgteh Back to Orgteh Integrations

المحرك الدلالي V2 Semantic Core V2

Embedding

توليد متجهات عالية الأبعاد للبحث الدلالي والتجميع وخطوط RAG. Generate high-dimensional vector embeddings for semantic search, clustering and RAG pipelines.

تجربة حية Live Playground

System Ready

النص المُدخَل Input Text (text_input)

وضع القص Truncate Mode (truncate)

الاحتفاظ بالنص الكامل بدون قص Keep full text without truncation

القص من النهاية إذا كان النص طويلاً Truncate from end if too long

التكلفةPricing

Premium

يتم تفعيلها عند الاشتراكActivated with subscription

1 كيفية استخدام التكامل How to use Integration

import requests

url = "https://orgteh.com/api/tools/execute/orgteh-semantic-embed"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "text_input": "value",
    "truncate": "NONE"
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class OrgtehToolClient {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();

        String jsonBody = "{"
            + "\"text_input\": \"value\" + ","
            + "\"truncate\": \"NONE\";


        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://orgteh.com/api/tools/execute/orgteh-semantic-embed"))
            .header("Authorization", "Bearer YOUR_API_KEY")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(jsonBody))
            .build();

        HttpResponse<String> response = client.send(request, 
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}

curl -X POST https://orgteh.com/api/tools/execute/orgteh-semantic-embed \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text_input": "value",
    "truncate": "NONE"
  }'

# أو باستخدام HTTPie
http POST https://orgteh.com/api/tools/execute/orgteh-semantic-embed \
  Authorization:"Bearer YOUR_API_KEY" \
  text_input="value" \
  truncate="NONE"

2 التكامل مع الذكاء الاصطناعي AI Integration

استخدم هذا الكود لربط الأداة بنماذج Orgteh مباشرة Use this code to connect the tool with Orgteh models directly

import requests

# Step 1: Execute Orgteh Tool
tool_url = "https://orgteh.com/api/tools/execute/orgteh-semantic-embed"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
tool_payload = {
    "text_input": "value",
    "truncate": "NONE",
}

tool_response = requests.post(tool_url, headers=headers, json=tool_payload)
tool_result = tool_response.json()

# Step 2: Send result to Orgteh AI Model
chat_url = "https://orgteh.com/v1/chat/completions"
chat_payload = {
    "model": "deepseek-ai/deepseek-v3.2",
    "messages": [
        {"role": "system", "content": "You have access to tool results."},
        {"role": "user", "content": f"Tool result: {tool_result}"}
    ]
}

ai_response = requests.post(chat_url, headers=headers, json=chat_payload)
result = ai_response.json()
print(result['choices'][0]['message']['content'])

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class OrgtehAIIntegration {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();

        // Step 1: Call Orgteh Tool
        String toolBody = "{"
            + "\"text_input\": \"value\" + ","
            + "\"truncate\": \"NONE\";


        HttpRequest toolRequest = HttpRequest.newBuilder()
            .uri(URI.create("https://orgteh.com/api/tools/execute/orgteh-semantic-embed"))
            .header("Authorization", "Bearer YOUR_API_KEY")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(toolBody))
            .build();

        HttpResponse<String> toolResponse = client.send(toolRequest, 
            HttpResponse.BodyHandlers.ofString());

        // Step 2: Send to Orgteh AI Model
        String aiBody = "{"
            + "\"model\": \"deepseek-ai/deepseek-v3.2\","
            + "\"messages\": [{\"role\": \"user\", \"content\": \"Process: " 
            + toolResponse.body() + "\"}]"
            + "}";

        HttpRequest aiRequest = HttpRequest.newBuilder()
            .uri(URI.create("https://orgteh.com/v1/chat/completions"))
            .header("Authorization", "Bearer YOUR_API_KEY")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(aiBody))
            .build();

        HttpResponse<String> aiResponse = client.send(aiRequest, 
            HttpResponse.BodyHandlers.ofString());

        System.out.println(aiResponse.body());
    }
}

# Step 1: Execute Orgteh Tool
curl -X POST https://orgteh.com/api/tools/execute/orgteh-semantic-embed \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text_input": "value",
    "truncate": "NONE"
  }'

# Step 2: Send result to Orgteh AI Model
curl -X POST https://orgteh.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/deepseek-v3.2",
    "messages": [{"role": "user", "content": "Analyze this tool output"}]
  }'

المحرك الدلالي V2 Semantic Core V2

تجربة حية Live Playground

التكلفةPricing

1 كيفية استخدام التكامل How to use Integration

2 التكامل مع الذكاء الاصطناعي AI Integration

Orgteh Assistant