Smarter PDF Comparison: How to Catch Real Changes, Not Formatting Noise
comparison of PDFs by extracting content, detecting key changes, and producing a highlighted PDF and a detailed report.
Efficient Document Comparison for Compliance Using AI and Embeddings
AI-powered system for comparing internal documents with regulations using embeddings, chunking, and local LLMs. It avoids keyword matching pitfalls by understanding meaning, storing vectors in PostgreSQL with pgvector, and generating contextual insights
Model Context Protocol: Beyond Fragile Prompts to Secure AI Integration
The Model Context Protocol (MCP) enhances AI workflows, ensuring reliability, security, and consistency in your projects. MCP helps you build agents and complex workflows on top of LLMs.
Changelog LTS Version Q2 25
Learn what changed in the second quarterly LTS version of Codesphere. This version is typically used by on-prem installations with quarterly release cycles.
Changelog LTS Version Q1 25
Learn what changed in the first quarterly long-term-support version of Codesphere. The LTS version is typically used for on-prem installations where a quarterly release cycle is more feasible than weekly releases.
Is PostgreSQL the Only Vector Database You Will Ever Need?
PostgreSQL provides pgvector extension, an efficient extension for LLM-based applications to replace costly dedicated vector databases.
Cloud Native Meetup Recap
Karlsruhe offers a vibrant tech scene and we are proud to be part of a group organizing expert & community meetups like this one.
AI Summarization of Long Documents: Tackling Long Documents with Precision
Long texts are difficult to summarize, but recursion can divide them into small parts. The approach is precise and preserves the meaning at any step of iteration.
Full Metal
Buying a used server on ebay kleinanzeigen and preparing it to be cloudified? Follow along to see what it takes to get a piece of metal running.
Structure PDF Table Data for AI Applications with GMFT
GMFT is a fast, lightweight toolkit for extracting tables from PDFs into formats like CSV, JSON, and Pandas DataFrames. Leveraging Microsoft's Table Transformer, GMFT efficiently processes both text and image tables, ensuring high performance for reliable data extraction.
Extracting Metadata from PDFs with Named Entity Recognition using Spacy
NER identifies entities like people and locations in text. SpaCy automates this with pre-trained models, offering accuracy, speed, and multi-language support. It excels at handling large datasets efficiently compared to rule-based methods.
Taking Advantage of the Long Context of Llama 3.1
Llama 3.1 allows a context window of 128k tokens. We investigate how to take advantage of this long context of Llama without running into performance issues.