Feeding Your Local Data to LLMs (II)
A developer tutorial demonstrates extending local LLM data feeding by storing embeddings in a Neo4j graph database and combining similarity search with full-text search, using a local LLM and Python p…
A developer tutorial demonstrates extending local LLM data feeding by storing embeddings in a Neo4j graph database and combining similarity search with full-text search, using a local LLM and Python p…
A developer has released Invoice2Excel Pro, an open-source desktop application built with Python and CustomTkinter that extracts data from PDF invoices and exports it to Excel. The tool operates entir…
A developer built ATSMeter, a free ATS resume checker tailored for Indian job seekers, using deterministic rule-based checks instead of LLMs to ensure consistent, explainable results. The tool feature…
DocuBrowse, a new desktop application, turns local document collections into searchable knowledge bases using AI-powered semantic search and summaries, all running offline with no internet or API keys…
XiaoKe API Gateway launched a suite of 7 micro-APIs for AI agents, enabling autonomous discovery, payment, and execution of tasks like PDF extraction, web scraping, OCR, code review, translation, summ…
A developer solved PDF table duplication in RAG/LLM pipelines by using pdfplumber to detect table bounding boxes and mask them during text extraction, producing clean Markdown tables without duplicate…
A developer built a production-grade AI document processing pipeline that handles PDF invoices, contracts, and bank statements at scale. The pipeline uses pdfplumber for text extraction, falls back to…
LectuLibre developed a chunking strategy to translate entire books using large language models while preserving narrative coherence. The pipeline parses documents into logical units like chapters, spl…
A three-step pipeline using pdfplumber, regex, and fuzzy matching converts unstructured invoices into structured data for RAG systems. The approach addresses common failures in extracting information …
A new benchmark evaluating DocumentAI models on bounding box accuracy shows GPT-5.5 and Gemini 3.5 leading with 67.7% and 67.5% scores respectively, while Qwen, Kimi, and Mistral trail significantly. …