Hallucination Mitigation Python Packages

uqlm

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

fastmemory

FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by upto 100% as in the huggingface benchmarks(22+ SOTA)

extrai-workflow

Structured data extraction with LLM majority vote

cotarag

Agentic-AI framework w/o the headaches

phase-slip-sampler

An entropic perturbation sampler for LLMs using orthonormal vector rotation and logit anchoring.

oscillink

Oscillink Lattice — Short-Term Coherence SDK (physics-inspired memory for generative models)

ais-client

<<<<<<< HEAD Production firewall & hygiene layer for AI JSON. Stop shipping brittle parsing glue. AIS turns noisy / malformed / risky model JSON into clean, validated, policy‑compliant objects — and only bills when an LLM rescue is actually needed.

deco-mllm

[ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation