Kiri Natural Language Engine
Project description
Kiri Natural Language Engine
Kiri Natural Language Engine is a high level Python library that makes using state-of-the-art language models easy, accessible and scalable.
With Kiri, no experience in AI is needed to solve valuable real world problems using:
- Semantic search in 50+ languages (for ecommerce, documentation, etc.)
- Conversational question answering in English (for FAQ chatbots, text analysis, etc.)
- Zero-shot classification in 100+ languages (for email sorting, intent detection, etc.)
- Summarisation in English (TLDRs for long documents)
- Emotion detection in English (for customer satisfaction, text analysis, etc.)
Run everything locally or take your code to production using our free, optimised inference API.
⚡ Getting started | Installation, few minute introduction |
---|---|
💡 Examples | Sample problems solved using Kiri |
📙 Docs | In-depth documentation for advanced usage |
Getting started
Installation
Install Kiri via PyPi:
pip install kiri
Basic usage
from kiri import Kiri, Document
# Unprocessed documents
documents = [
Document("Look at examples to see awesome use cases!"),
Document("Check out the docs to see what's possible!")
]
# Use our inference API
kiri = Kiri(api_key="abc")
# Or run locally
kiri = Kiri(local=True)
# Process documents
kiri.upload(documents)
# Start building!
search_results = kiri.search("What are some cool apps that have been built?")
print(search_results.to_json())
# Prints
{
"max_score": 0.3804888461635889,
"total_results": 2,
"results": [
{
"document": {
"id":"LzhtWcpV2eoMk8GJwaw7na",
"content":"Look at examples to see awesome use cases!"
},
"score": 0.3804888461635889,
"preview":" Look at examples to see awesome use cases!"
},
{
"document": {
"id":"bcLb8xUK585Zm6rZrwj89A",
"content":"Check out the docs to see what's possible!"
},
"score": 0.1742559312454076,
"preview":" Check out the docs to see what's possible!"
}
]
}
Why Kiri?
-
No experience needed
- Entrance to practical AI should be simple
- Get state-of-the-art performance in your task without being an expert
-
There is an overwhelming amount of models
- We implement the best ones for various use cases
- A few general models can accomplish more with less optimisation
-
Deploying models cost effectively is hard work
- If our models suit your use case, no deployment is needed
- Our API scales, is always available, and you only pay for usage
Examples
Take a look at the examples folder.
Documentation
Check out our docs.
Project details
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