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Enterprise-Ready Generative AI for Search, Insights, and Automation
The first enterprise-ready Retrieval Augmented Generation (RAG) stack and Large Language Model (LLM) offering.
SquirroGPT enables enterprises to benefit from safe and versatile Generative AI usage and is LLM agnostic.
Retrieval Augmented Generation (RAG) is an AI framework designed to enhance the accuracy of responses generated by LLMs. It achieves this by incorporating external sources of knowledge to complement the model's internal understanding.
SquirroGPT uses RAG technology. It uses Squirro's Semantic Search before it queries the Large Language Model (LLM).
Once the user enters a prompt, SquirroGPT queries the knowledge base - the data and documents ingested.
SquirroGPT then sends relevant information with the query to the LLM. As an extra layer of verification, the response is validated against the knowledge base before passing the answer back to the user.
Chat with all of your organisational data - define the data sources and permission rights that work for your business unit
Each answer is supported by evidence - a reference source
Make your chat available to a wider audience through embedding
Find and interact with data of interest without having to open a single document
Our RAG technology provides more precise results by locating and analyzing relevant paragraphs instead of entire documents -reducing hallucinations
The chat only accesses and analyzes documents the user has access rights to
Experience your documents in a new way and interact with them conversationally
Retrieve all the information you want from a single document
Verify the precision of the answers provided by clicking on the evidence chip and cross referencing with the highlighted text in the document
Four different types of summarization are supported:
Document summary
Topical summary
Page summary
Selection summary
Provide additional instructions to personalize summaries
Combine workplace search with contextually aware chat
Conversationally interact with internal and external data sources to generate personalized insights and boost your productivity
Analyse and visualise structured data in your chat interface
Parse and create conclusions from large amounts of data - simply by asking questions
Retrieval Augmented Generation (RAG) is an AI framework designed to enhance the accuracy of responses generated by LLMs. It achieves this by incorporating external sources of knowledge to complement the model's internal understanding.
SquirroGPT uses RAG technology. It uses Squirro's Semantic Search before it queries the Large Language Model (LLM).
Once the user enters a prompt, SquirroGPT queries the knowledge base - the data and documents ingested.
SquirroGPT then sends relevant information with the query to the LLM. As an extra layer of verification, the response is validated against the knowledge base before passing the answer back to the user.
Chat with all of your organisational data - define the data sources and permission rights that work for your business unit
Each answer is supported by evidence - a reference source
Make your chat available to a wider audience through embedding
Find and interact with data of interest without having to open a single document
Our RAG technology provides more precise results by locating and analyzing relevant paragraphs instead of entire documents -reducing hallucinations
The chat only accesses and analyzes documents the user has access rights to
Experience your documents in a new way and interact with them conversationally
Retrieve all the information you want from a single document
Verify the precision of the answers provided by clicking on the evidence chip and cross referencing with the highlighted text in the document
Four different types of summarization are supported:
Document summary
Topical summary
Page summary
Selection summary
Provide additional instructions to personalize summaries
Combine workplace search with contextually aware chat
Conversationally interact with internal and external data sources to generate personalized insights and boost your productivity
Analyse and visualise structured data in your chat interface
Parse and create conclusions from large amounts of data - simply by asking questions
We're still seeing continued high usage, and the overwhelming feedback from users is that it's intuitive, they can very easily find things (...) Normally when you deploy new systems, you are desperately going around the teams and badgering them to try it. Here, they are badgering us. Our waiting list for demos is huge.
The insights solution is a good example of how we leverage technology and FinTech partnerships to co-create innovative analytics capabilities to enable our frontline teams to have better conversations.
We have had a wonderful experience working with the Squirro team on this project. Working with such outstanding professionals makes our lives much easier, and we can see the results of their dedication to the project.
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Squirro's platform encompasses all of the essential technical components required for our use-case-specific and tailored enterprise ready solutions.
Navigating the changing contours of AI impact can be challenging - how can AI shape your organisation, empower your workforce and enhance different workflows, workloads, and processes? Find out in our whitepapers, podcast, case studies, and webinars.
Discover the real impact of Squirro!
Book a one-on-one demo with one of our
product experts to see all of our product features
first-hand, completely free!