Tag: RAG architecture

Jun, 25 2026

Retrieval Augmentation on Open-Source LLMs: Tooling and Best Practices

Emily Fies

A practical guide to implementing Retrieval-Augmented Generation (RAG) with open-source LLMs. Covers core architecture, essential tools like LangChain and vLLM, vector databases, and best practices for reducing hallucinations.

May, 27 2026

Designing Vector Stores for RAG: Indexing and Storage Best Practices

Emily Fies

Learn how to design efficient vector stores for RAG systems. We cover indexing strategies, chunking best practices, and choosing between FAISS, pgvector, and managed solutions.

May, 15 2026

Retrieval-Augmented Generation (RAG) Advances: Better Search, Better Answers in Generative AI

Emily Fies

Explore how Retrieval-Augmented Generation (RAG) is transforming Generative AI by reducing hallucinations and boosting accuracy. Learn about Agentic RAG, implementation challenges, and why it beats fine-tuning for factual tasks.