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Meet Lytix: An AI Platform that Brings Insights, Testing, and E2E Analytics to Your LLM Stack with Minimal Changes to...Product insights ⁘ monitoring, testing, end-to-end analytics, and errors are four of the most difficult LLMs to monitor and test. Teams mostly waste weeks of dev time building internal tools to solve these problems. Most product analytics efforts have concentrated on numerical metrics like CTR and conversion rates. This information is critical, yet it is incomplete. Contrarily, text data offers a more comprehensive comprehension of user sentiment and behavior. But it's not always easy to analyze text data.
Meet Lytix , the LLM stack enhancer that integrates testing, insights, and end-to-end analytics with little coding modifications. Lytix has developed an all-inclusive platform for analyzing text data in response to these difficulties. Lytix automatically mines text data for insights using natural language processing techniques, such as:
Open Contracts is a fully open-source, AI-powered document analytics tool licensed under Apache-2. This platform empowers users to manage, process, and analyze document collections, known as corpuses, with unparalleled efficiency and accuracy. At its core, Open Contracts leverages generative AI (genAI) and Large Language Models (LLMs) to facilitate both data extraction and query handling. This dual integration, utilizing LlamaIndex, allows users to ask complex questions and receive intelligent answers based on the content of hundreds of documents.
One of the standout features of Open Contracts is its layout parser, which automatically extracts layout features from PDFs, transforming them into structured data. This capability is further enhanced by the platform's ability to generate automatic vector embeddings for uploaded PDFs and extracted layout blocks. These embeddings serve as the foundation for the platform's sophisticated querying and analysis functionalities.
Another highlight is the pluggable microservice analyzer architecture, enabling seamless integration of various analyzers to automate document annotation. For tasks requiring human intervention, the platform includes a robust human annotation interface, supporting detailed multi-page annotations.
Open Contracts' integration with LlamaIndex and pgvector-powered vector stores allows for intelligent, LLM-powered querying. Users can ask multiple questions across extensive document collections, with the LLM accessing both manual and automatic annotations to provide accurate responses. This feature is particularly valuable for legal analysis, contract management, and corporate documentation.
It stands out not only for its powerful built-in features but also for its customizability. Users can create bespoke data extraction pipelines tailored to specific needs, enhancing the platform's flexibility. These custom extractors are seamlessly integrated into the frontend, allowing users to perform bulk queries and data extraction with ease.
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