Receipt processing is one of those problems that looks simple on the surface but becomes increasingly […]
Extracting structured data from real-world enterprise receipts sounds simple at first, but it quickly turns into […]
Even after applying model optimization and output cleaning, one critical issue remained in the ReceiptFlow pipeline: […]
Even after selecting the right model and optimizing input format, inconsistencies in LLM outputs continued to […]
After selecting an appropriate model for structured extraction, inconsistencies in output still persisted within the ReceiptFlow […]
After identifying that tool calling was unreliable in a local LLM setup, the next critical step […]
When building ReceiptFlow, the goal was simple: take messy OCR output from receipts and convert it […]
This article explores the concept of Sovereign AI and introduces Data Philter, an open-source, local-first AI […]
While Apache Druid offers unparalleled real-time analytics, its operational complexity often creates a significant bottleneck for data teams. This article introduces the iunera Druid MCP Server, a revolutionary open-source tool that builds a conversational bridge to Druid's powerful engine. Learn how it leverages a Large Language Model (LLM) and the Model Context Protocol (MCP) to translate simple, natural language commands into complex data workflows, removing operational overhead and making advanced analytics accessible to everyone.
Revolutionize enterprise AI with agentic RAGs. This guide explores a 15-step pipeline and offers insights for enterprise AI implementation.