A simple tool to anonymize LLM prompts.

AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.

Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment

privacy-first context graph engine for AI agents and human teams.

Python bindings to Inference engine for GLiNER models written in Rust

Text preprocessing and PII anonymisation for NLP/ML. ONNX NER ensemble, language detection, stopword removal. Built for statistical ML and language models.

Comparison case study between Gliner V2 vs OpenAI Privacy filter model for PII Redaction

Easily configurable API & frontend providing simple access to dynamic NER models.

BrainUp is an AI-driven self-improvement app created for Hack the Hill 2024. It analyzes saved Instagram reels and posts to recommend productive activities and classes based on user interests. Built with ReactJS for the frontend and a Flask API for the backend, BrainUp leverages AI models like HDBSCAN, MPnet-base v2, and Mistral for data analysis,

Real-time PII detection and redaction for AI chat interfaces.

Leverage ModernGLiNER's capabilities using LitServe.

Collective AI memory for multi-agent teams. 10-stage GAMR search engine, knowledge graph (Apache AGE), document ingestion, 22+ MCP tools.

NER on PDF file using Rust

Identifies legal, regulatory, and procedural mechanisms used to consolidate power — and generates ranked, plain-English countermeasures. BYOK (bring your own Anthropic key). Powered by GLiNER2 + Claude.

🔎 NER (Named Entity Recognition) Application with Gliner 🛠️

This project focuses on developing and fine-tuning models for medical term extraction and general named entity recognition.

Standalone RAG backend: hybrid search (pgvector + ParadeDB BM25 + LightRAG graph) with 4-mode rerank (CPU TEI + AMD gfx1151 GPU sidecars: BGE, Qwen3-Reranker 4B/8B) and GLiNER NER fast-mode. FastAPI on :5050. Bind-mount persistence.

Clause-level extraction from legal contracts using NER and structured prompting.

Fine-tuning workflows for GLiNER 2 on domain-specific entity recognition.

Comparative study of parameter-efficient fine-tuning (PEFT) strategies for biomedical NER on top of GLiNER — including soft prompt tuning, embedding injection, and a custom in-place embedding extension that matches full fine-tuning performance at 13% of trainable parameters.