Search 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

phase-slip-sampler

Phase-Slip is a stochastic intervention architecture that operates on the Key-Value Cache of the model. Phase-Slip gently rotates the semantic vectors of the context window, asking the model: "How would you finish this sentence if you looked at it from a slightly different perspective?"

cotarag

Agentic-AI framework w/o the headaches

oscillink

Oscillink — Self‑Optimizing Coherent Memory for Embedding Workflows

ais-client

Python client for AI Immune System (AIS): JSON firewall + guarded LLM fallback.

deco-mllm

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