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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Experience the power of localized and secure AI right on your desktop, providing you with in-depth insights while maintaining complete data security and privacy. Our innovative macOS-native application combines efficiency, privacy, and intelligence through its state-of-the-art AI functionalities. The RAG system is capable of tapping into data from a local knowledge base to enhance the capabilities of the large language model (LLM), allowing you to keep sensitive information on-site while improving the quality of responses generated by the model. To set up RAG locally, you begin by breaking down documents into smaller segments, encoding these segments into vectors, and storing them in a vector database for future use. This vectorized information will play a crucial role during retrieval operations. When a user submits a query, the system fetches the most pertinent segments from the local knowledge base, combining them with the original query to formulate an accurate response using the LLM. Additionally, we are pleased to offer individual users lifetime free access to our application. By prioritizing user privacy and data security, our solution stands out in a crowded market.

Description

Lettria presents a robust AI solution called GraphRAG, aimed at improving the precision and dependability of generative AI applications. By integrating the advantages of knowledge graphs with vector-based AI models, Lettria enables organizations to derive accurate answers from intricate and unstructured data sources. This platform aids in streamlining various processes such as document parsing, data model enhancement, and text classification, making it particularly beneficial for sectors including healthcare, finance, and legal. Furthermore, Lettria’s AI offerings effectively mitigate the occurrences of hallucinations in AI responses, fostering transparency and confidence in the results produced by AI systems. The innovative design of GraphRAG also allows businesses to leverage their data more effectively, paving the way for informed decision-making and strategic insights.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Codestral Mamba Yes 
Hugging Face Yes 
Llama Yes 
Llama 2 Yes 
Llama 3 Yes 
Llama 3.1 Yes 
Llama 3.3 Yes 
Mathstral Yes 
Meta Pixel Yes 
Ministral 3B Yes 
Mistral 7B Yes 
Mistral AI Yes 
Mistral Large Yes 
Mistral NeMo Yes 
Mixtral 8x7B Yes 
OVHcloud No 
OpenAI Yes 
Pixtral Large Yes 
Swift Yes 

Integrations

Codestral Mamba No 
Hugging Face No 
Llama No 
Llama 2 No 
Llama 3 No 
Llama 3.1 No 
Llama 3.3 No 
Mathstral No 
Meta Pixel No 
Ministral 3B No 
Mistral 7B No 
Mistral AI No 
Mistral Large No 
Mistral NeMo No 
Mixtral 8x7B No 
OVHcloud Yes 
OpenAI No 
Pixtral Large No 
Swift No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

€600 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Klee

Website

kleedesktop.com

Vendor Details

Company Name

Lettria

Founded

2017

Country

France

Website

lettria.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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