We are currently in open beta. Please sign up for try it for free.

We are currently in open beta.

Please sign up for try it for free.

Products

Intent Router

Filter Extractor

Pricing

Contact Us


Products

Intent Router

Filter Extractor

Pricing

Contact Us


Intent Router

Intent Router

Intent Router

Captures the intent of the query and classifies it as a route

Captures the intent of the query

and classifies it as a route

Computer Science

Math

Biology

Intent Router

How do neural networks work

in machine learning?

Computer Science

Math

Biology

Intent Router

How do neural networks work

in machine learning?

Computer Science

Math

Biology

Intent Router

How do neural networks work

in machine learning?

What does the Intent Router do?

What does the Intent Router do?

What does the

Intent Router do?

Intent Router receives a natural language query along with a set of routes and then selects the route that matches the intent of the query.

Intent Router receives a natural language query along with a set of routes and then selects the route that matches the intent of the query.

!pip install sineps
import sineps

client = sineps.Client(SINEPS_API_KEY)

query = "How do neural networks work in machine learning?"

routes = [
    {
        "name": "mathematics",
        "description": "Assign queries to this route when they are related to mathematics.",
        "utterances": [
            "What is the Pythagorean theorem?",
            "Can you explain the concept of integrals?",
            "What are the different types of symmetry in geometry?",
        ],
    },
    {
        "name": "computer_science",
        "description": "Assign queries to this route when they are related to computer science.",
        "utterances": [
            "What is the difference between Java and Python?",
            "How does deep learning work?",
            "What are the main principles of object-oriented programming?",
        ],
    },
    {
        "name": "biology",
        "description": "Assign queries to this route when they are related to biology.",
        "utterances": [
            "How do photosynthesis and cellular respiration differ?",
            "What is the structure of a DNA molecule?",
            "How do ecosystems maintain balance?",
        ],
    },
]


response = client.exec_intent_router(query=query, routes=routes, allow_none=True)

print(f"{response.result.routes[0].name}")

# computer_science
!pip install sineps
import sineps

client = sineps.Client(SINEPS_API_KEY)

query = "How do neural networks work in machine learning?"

routes = [
    {
        "name": "mathematics",
        "description": "Assign queries to this route when they are related to mathematics.",
        "utterances": [
            "What is the Pythagorean theorem?",
            "Can you explain the concept of integrals?",
            "What are the different types of symmetry in geometry?",
        ],
    },
    {
        "name": "computer_science",
        "description": "Assign queries to this route when they are related to computer science.",
        "utterances": [
            "What is the difference between Java and Python?",
            "How does deep learning work?",
            "What are the main principles of object-oriented programming?",
        ],
    },
    {
        "name": "biology",
        "description": "Assign queries to this route when they are related to biology.",
        "utterances": [
            "How do photosynthesis and cellular respiration differ?",
            "What is the structure of a DNA molecule?",
            "How do ecosystems maintain balance?",
        ],
    },
]


response = client.exec_intent_router(query=query, routes=routes, allow_none=True)

print(f"{response.result.routes[0].name}")

# computer_science

Values

Values

Low-cost

Low-cost

138x cheaper than GPT-4o,

4x cheaper than GPT-4o mini

138x cheaper than GPT-4o,

4x cheaper than GPT-4o mini

Average cost / 1K calls in intent classification problems

0.029 $

0.025 $

Sineps

4 $

3 $

2 $

1 $

0 $

GPT - 4o

mini

GPT - 4o

GPT - 3.5

turbo

Claude 3.5

Sonnet

Semantic

Router

0.1$

3.47 $

0.35 $

2.43 $

Average cost / 1K calls in intent classification problems

0.029 $

0.025 $

Sineps

4 $

3 $

2 $

1 $

0 $

GPT - 4o

mini

GPT - 4o

GPT - 3.5

turbo

Claude 3.5

Sonnet

Semantic

Router

0.1$

3.47 $

0.35 $

2.43 $

Consistently Fast

Consistently Fast

Average latency 3.8x lower,

Maximum latency 6.8x lower than GPT-4o mini

Average latency 3.8x lower,

Maximum latency 6.8x lower than GPT-4o mini

  • 1000ms

    750ms

    500ms

    250ms

    0ms

    GPT - 4o

    mini

    GPT - 4o

    Sineps

    GPT - 3.5

    turbo

    Claude 3.5

    Sonnet

    Semantic

    Router

    573ms

    508ms

    148ms

    482ms

    1195ms

    1026ms

    Average latency in intent classification problems

  • 6000ms

    4500ms

    3000ms

    1500ms

    0ms

    GPT - 4o

    mini

    GPT - 4o

    Sineps

    GPT - 3.5

    turbo

    Claude 3.5

    Sonnet

    Semantic

    Router

    2089ms

    6115ms

    309ms

    1573ms

    3131ms

    1821ms

    Maximum latency (at 300 calls) in intent classification problems

  • 1000ms

    750ms

    500ms

    250ms

    0ms

    GPT - 4o

    mini

    GPT - 4o

    Sineps

    GPT - 3.5

    turbo

    Claude 3.5

    Sonnet

    Semantic

    Router

    573ms

    508ms

    148ms

    482ms

    1195ms

    1026ms

    Average latency in intent classification problems

  • 6000ms

    4500ms

    3000ms

    1500ms

    0ms

    GPT - 4o

    mini

    GPT - 4o

    Sineps

    GPT - 3.5

    turbo

    Claude 3.5

    Sonnet

    Semantic

    Router

    2089ms

    6115ms

    309ms

    1573ms

    3131ms

    1821ms

    Maximum latency (at 300 calls) in intent classification problems

Highly Accurate

Highly Accurate

GPT-4o level accuracy

GPT-4o level accuracy

Accuracy in intent classification problems

100%

95%

90%

85%

80%

GPT - 4o

mini

GPT - 4o

Sineps

GPT - 3.5

turbo

Claude 3.5

Sonnet

Semantic

Router

97.32%

98.21%

97.32%

95.98%

100%

93.75%

Accuracy in intent classification problems

100%

95%

90%

85%

80%

GPT - 4o

mini

GPT - 4o

Sineps

GPT - 3.5

turbo

Claude 3.5

Sonnet

Semantic

Router

97.32%

98.21%

97.32%

95.98%

100%

93.75%

Multilingual

Multilingual

Supports English, Chinese, French, Korean, Spanish, Italian, and Arabic

Supports English, Chinese, French, Korean, Spanish, Italian, and Arabic

* We will make the dataset publicly available for evaluation.

* We will make the dataset publicly available for evaluation.

Use cases

Use cases

In your chatbot

application,

In your chatbot

application,

it enables the implementation of different response logic for different categories of questions

it enables the implementation of different response logic for different categories of questions

Intent Router

How to use

Recommendation

I want a refund for clothes I bought

Intent Router

How to use

Recommendation

I want a refund for clothes I bought

In your RAG

application,

In your RAG

application,

it selects the appropriate database

to answer the question

it selects the appropriate database

to answer the question

Intent Router

Large Language Model

I want to know the specifications of this laptop.

Electronics

Clothing

Food

Intent Router

Large Language Model

I want to know the specifications of this laptop.

Electronics

Clothing

Food

In your agent,

In your agent,

In your agent,

In your agent,

In your agent,

it ensures that commands

take appropriate follow-up actions

it ensures that commands

take appropriate follow-up actions

Intent Router

Check my meeting schedule for tomorrow.

View Calendar

Intent Router

Check my meeting schedule for tomorrow.

View Calendar

Sineps

Company : Ceres Technologies, Co., Ltd. | CEO : Inhyuk Na

Call : +82 70-7355-4189 | E-mail : infosec@sineps.io

Registration number : 716-81-02382

Address : 577, Dongdaegu-ro, Dong-gu, Daegu, Republic of Korea

ⓒ 2024 Ceres Technologies, All rights reserved.

Sineps

Company : Ceres Technologies, Co., Ltd.


CEO : Inhyuk Na


Call : +82 70-7355-4189


E-mail : infosec@sineps.io


Registration number : 716-81-02382


Address : 577, Dongdaegu-ro, Dong-gu,


Daegu, Republic of Korea

ⓒ 2024 Ceres Technologies,

All rights reserved.

Privacy Policy

Terms of Use