Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Pigro is an innovative search engine powered by artificial intelligence, specifically crafted to improve productivity in medium to large organizations by delivering quick and accurate responses to user inquiries in natural language. It seamlessly connects with various document storage systems, such as Office-like files, PDFs, HTML, and plain text across multiple languages, automatically importing and refreshing content to remove the burden of manual management. Its sophisticated AI-driven text chunking method analyzes the structure and meaning of documents, ensuring that users receive precise information when needed. With its self-learning features, Pigro consistently enhances the quality and accuracy of its responses, proving to be an indispensable asset for departments including customer service, HR, sales, and marketing. Furthermore, Pigro integrates effortlessly with internal company platforms like intranet sites, CRM systems, and knowledge management tools, allowing for real-time updates while preserving existing access rights. This makes it not only a powerful search tool but also a catalyst for improved collaboration and efficiency across teams.
API Access
Has API
No
API Access
Has API
Yes
Integrations
OpenAI
Yes
Codestral
Yes
Codestral Mamba
Yes
GPT-3
No
GPT-3.5
No
GPT-4
No
Hugging Face
Yes
Llama
Yes
Llama 2
Yes
Llama 3
Yes
Integrations
OpenAI
Yes
Codestral
No
Codestral Mamba
No
GPT-3
Yes
GPT-3.5
Yes
GPT-4
Yes
Hugging Face
No
Llama
No
Llama 2
No
Llama 3
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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)
No
In Person
No
Vendor Details
Company Name
Klee
Website
kleedesktop.com
Vendor Details
Company Name
Pigro
Founded
2018
Country
Italy
Website
openai.pigro.ai/
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
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No