Squirro is a flexible generative AI tool designed for enterprise insights, search, and workflow automation. It utilizes a sophisticated AI architecture, Retrieval Augmented Generation (RAG), to improve the precision of responses from large language models (LLMs).
This improvement is achieved by integrating external knowledge repositories to bolster the model's internal understanding. The SquirroGPT component employs Semantic Search to interface with the LLM, streamlining data retrieval for more efficiency and relevance.
When a user submits a query, SquirroGPT scans the knowledge base, encompassing all ingested data and documents. Relevant information is then transmitted to the LLM, and the resulting response is validated against the knowledge base before being presented to the user.
This process guarantees that every answer is evidence-based, while the refinement mechanisms minimize inaccurate information. The tool also excels at providing easy access to intricate organizational data, with the flexibility to configure data sources and permission levels tailored to specific business divisions.
It empowers users to engage with data without directly opening documents, delivering more accurate results by focusing on pertinent sections rather than entire files.
This tool provides enterprise-level security features and is designed to be embedded for broad accessibility.
Enterprise search capabilities
Improves accuracy of LLMs
Integrates outside knowledge sources
Complex process for integrating data
Subpar summarization of documents
Limited analysis of structured data

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