Unite.AI

The Real Reason Your RAG Pipeline Keeps Hallucinating

You know the ritual. The pipeline hallucinated in front of a customer, so you swapped the embedding model. Then you upgraded ...
InfoQ

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

Vector embeddings are approximation engines that are excellent at finding semantically similar content, but systematically weak at distinguishing specific entities ...
GitHub

Policy-Aware Hybrid Retrieval Agent with MCP-Style Tool Routing and Multi-Model Evaluation

SentinelRAG is a retrieval-augmented generation (RAG) system that prevents sensitive information leakage by combining hybrid retrieval (BM25 + FAISS), a two-stage policy engine, confidence-aware ...
Frontiers

Natural language processing in the era of large language models

Bloomberg School of Public Health, Johns Hopkins University, United States The great performance of LLMs has also inevitably provoked some fear in society that artificial intelligence tools may ...
GitHub

Fine-Tuning Embedding for RAG with Synthetic Data

UPDATE 9/10/2023: We've included embedding finetuning abstractions into the LlamaIndex repo, so this repo is technically outdated! Please check out our embedding fine-tuning guides in the core ...
NHS England

Advice on how to establish a remote ‘total triage’ model in general practice using online consultations

This guidance is correct at the time of publishing. However, as it is subject to updates, please use the hyperlinks to confirm the information you are disseminating ...