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New Risk Landscape: What the EBA’s 2025 Report Means for Fintech

Finextra

🚧 Key Findings: A System Under Pressure 1.

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iFOREX anticipates delay in its planned London listing

The Paypers

Additionally, iFOREX underlined that it has received substantial investor interest for its initial public offering (IPO), originally set to be in late June 2025 , with the deal being oversubscribed at the top of the indicative valuation range.

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5 high-ROI uses of RAG models in banking and fintech

Finextra

Investment research and market intelligence. RAG forces the assistant to provide a cited answer leading directly to the original source document. With RAG, as long as the approved documents are organised in databases and available to the model, they are used to build context for each output. Use cases 4 and 5 solely save.

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Tebi raises EUR 30 mln to expand hospitality platform in Europe

The Paypers

From side project to operational platform The startup’s origins trace back to 2020, when one of its cofounders began developing software to help a local bar streamline tax reporting during the COVID-19 lockdowns. That technical exploration evolved into a product offering broader business support tools for the hospitality industry.

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MTCM and Tokeny unveil dual securities framework

The Paypers

Both instruments originate from the same legal compartment, ensuring regulatory compliance and operational consistency across formats. The Paypers provides a wide range of news and analysis products aimed at keeping the ecommerce, fintech, and payment professionals informed about latest developments in the industry.

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Top 9 Amazon Textract alternatives for data extraction

Nanonets

On the other hand, the research also revealed that the platform falls short when it comes to: ➡️ 1. Database matching for data verification 7. The service can identify and extract data from forms and tables while maintaining the original document's structure and relationships. The pricing starts at $1.50

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LangChain vs LlamaIndex: Choosing the Right Framework for Your LLM Application

Nanonets

These documents and the original input are then used by the LLM to generate a response. create_sql_query_chain : Suitable for generating SQL database queries from natural language. For instance, an agent might help with research by searching the web, summarizing findings, and formatting the results.