Promote Sign in Sign up

Database management

Squirro ✓

Empower enterprise decisions with AI-driven insights.

714 views 5 saves Freemium
Retrieval-augmented Generation Enterprise Search Enterprise-grade Security
More categories (4)
Semantic Search Large Language Models Refined Responses Database management
Visit website Sign in to save

Free + from $30/mo

Verdict

A quick read before you dig into the full page.

Best if
Empower enterprise decisions with AI-driven insights
Skip if
Complex data integration process
Pick this when
Enterprise search capability

Considering QueryLab instead? Compare side by side

Overview

Squirro is a versatile generative AI tool designed for enterprise search, insights, and automation. It is built with an advanced AI framework, Retrieval Augmented Generation (RAG), that enhances the accuracy of the responses generated by larger language models (LLMs).

This enhancement is made possible by incorporating external sources of knowledge to support the model's internal understanding. The SquirroGPT component of the tool uses Semantic Search to query the LLM, facilitating a more efficient and informed data retrieval process.

When a user enters a prompt, SquirroGPT searches the knowledge base, including the ingested data and documents. Relevant information is then sent to the LLM, and the response is verified against the knowledge base before being relayed to the user.

This ensures each answer is supported with evidence, and the refining process reduces inaccurate responses. The tool also specializes in providing accessibility to complex organisational data, with the capacity to define data sources and permission rights to suit individual business units.

It enables users to interact with data without needing to open documents, providing more precise results by analyzing relevant paragraphs instead of entire documents.

This tool offers enterprise-grade security and can be embedded for wide audience accessibility.

Squirro website

Access & connections

Where you can use Squirro.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular
  • Text

Output

  • Text

Pros & cons

Pros

  • Enterprise search capability
  • Enhances LLM accuracy
  • Incorporates external knowledge
  • Semantic search feature
  • Efficient data retrieval
  • Knowledge base verification
  • Reduced inaccurate responses
  • Access to organisational data
Show 18 more
  • Ability to define data sources
  • Customisable permission rights
  • Data interaction without document opening
  • Precise results via paragraph analysis
  • Enterprise-grade security
  • Can be embedded
  • Reference supported answers
  • Data source and right definition
  • Conversationally interact with documents
  • Four types of summarisation
  • Personalised summaries
  • Combine search with context aware chat
  • Interaction with structured data in chat
  • Structured data analysis and visualisation
  • Bridges data silos
  • Context and intent based information sharing
  • Semantic enterprise search
  • No-code ML platform

Cons

  • Complex data integration process
  • Inferior document summarization
  • Limited structured data analysis
  • Dependent on relevant data ingestion
  • Requires data source definition
  • Potentially high permission management
  • Unclear error validation process

Compare alternatives

Similar tools in the catalog — with a clear reason to open each one.

No pricing

Full comparison

Why look Typically cheaper

Full comparison

Why look Typically cheaper

Full comparison

from $54.00

Full comparison

Why look Typically cheaper

Full comparison

Why look Offers a public API

Full comparison

Releases 1

Initial release April 6, 2022 Current
Initial release of Squirro.

FAQ 12

What is Squirro and its key features?
Squirro is a generative AI tool purposed for enterprise search, insights, and automation. Key features include: utilization of an advanced AI framework, Retrieval Augmented Generation (RAG), for enhanced response accuracy from larger language models (LLMs); the integration of external knowledge sources to support the model's understanding; and a component, SquirroGPT, that uses Semantic Search to make the data retrieval process efficient and informed. Furthermore, Squirro offers refined responses, capabilities to access complex organizational data, options to define data sources and permission rights to match individual business units, and enterprise-grade security. Additionally, Squirro lets users chat with all organizational data and every answer is supported by a reference source.
What is Retrieval Augmented Generation (RAG) in Squirro?
Retrieval Augmented Generation (RAG) in Squirro is an AI framework designed to enhance the accuracy of responses generated by LLMs. RAG uses external sources of knowledge to complement the model's internal understanding. Squirro uses RAG, with its Semantic Search, to query the LLM, a process that ensures more precise and informed responses.
How does Squirro use larger language models (LLMs)?
Squirro uses larger language models (LLMs) in its Retrieval Augmented Generation (RAG) technology. This process starts when a user enters a prompt, triggering Squirro's semantic search to query relevant data from the knowledge base, including the ingested data and documents. The relevant information is then sent along with the query to the LLM. To verify the accuracy, the response from the LLM is checked against the knowledge base before delivering the answer to the user.
What is the role of Semantic Search in the SquirroGPT component?
In the SquirroGPT component, Semantic Search is used to query the LLM, an action that facilitates a more efficient and informed data retrieval process. When a user enters a prompt, Semantic Search is the mechanism that scans the knowledge base, including the ingested data and documents. This search strategy facilitates in acquiring contextually relevant responses.
How does the data retrieval process work in Squirro?
In Squirro, the data retrieval process works by using Squirro's Semantic Search for querying the knowledge base once a user enters a prompt. The retrieval process involves searching through the data and documents ingested, sending relevant information to the LLM, and then validating the response against the knowledge base before giving the answer to the user.
What happens when a user enters a prompt in Squirro?
When a user enters a prompt in Squirro, the system's Semantic Search initiates a scan through the knowledge base which includes ingested data and documents. SquirroGPT then sends the relevant information gathered to the Large Language Model (LLM) for response generation.
How does Squirro ensure the accuracy of the responses?
Squirro ensures the accuracy of responses through its Retrieval Augmented Generation technology. More specifically, after the LLM generates a response, it undergoes an additional verification layer where it is validated against the knowledge base once more before it is relayed to the user. It utilizes Semantic Search and LLMs in conjunction to seek context-relevant data ensuring that each answer is supported by evidence, thus reducing the potential for inaccurate responses.
What capabilities does Squirro have in accessing complex organisational data?
Squirro has unique capabilities in accessing complex organizational data. It allows users to define the data sources and permission rights suitable for their specific business units. This accessibility allows users to interact with data without having to open the documents themselves, providing more precise results. Squirro can locate and analyze relevant paragraphs instead of entire documents.
How can individual business units customize Squirro?
Individual business units can customize Squirro by defining the data sources and permission rights that best suit their operational needs. Each answer that Squirro provides is supported by evidence - a reference source. The chat feature can be made available to a wider audience through embedding.
What type of security does Squirro offer?
Squirro offers enterprise-grade security. This ensures the safe handling and processing of data, maintaining the integrity and confidentiality of users' information. This also ensures that Squirro can safely be used across a variety of business units whilst respecting necessary data protections and permissions.
How does Squirro interact with data without opening documents?
Squirro can interact with data without having to open documents. Using its Retrieval Augmented Generation technology, Squirro provides more precise results by locating and analyzing only relevant paragraphs, instead of a whole document. This reduces unnecessary information consumption, making the entire process more efficient.
Can Squirro be embedded for wide audience accessibility?
Yes, Squirro can be embedded for wide audience accessibility. This means that Squirro's face chat, equipped with all its powerful features, can be accessed by a wide range of audience--from individual business units to multiple departments, thus providing them with the facility to chat with data, extract information and get concise responses efficiently.
Squirro Free + from $30/mo
Visit website