Leonie Monigatti – Medium

Leonie Monigatti

Pinned

Leonie Monigatti

Building Retrieval-Augmented Generation Systems

A collection of articles for developing production-ready RAG applications

Apr 2

Building Retrieval-Augmented Generation Systems

Apr 2

Pinned

Leonie Monigatti
in
Towards Data Science

The Kaggle Blueprints: Unlocking Winning Approaches to Data Science Competitions

An article series analyzing Kaggle competitions’ winning solutions for lessons we can apply to our own data science projects

Mar 1, 2023

Blueprint of the Kaggle duck

Mar 1, 2023

Leonie Monigatti
in
Towards Data Science

The Challenges of Retrieving and Evaluating Relevant Context for RAG

A case study with a grade 1 text understanding exercise for how to measure context relevance in your retrieval-augmented generation system…

Jun 10

A grade one text understanding exercise converted into an example for a retrieval augmented generation question answering problem.

Jun 10

Leonie Monigatti
in
Towards Data Science

Shifting Tides: The Competitive Edge of Open Source LLMs over Closed Source LLMs

Why I think smaller open source foundation models have already begun replacing proprietary models by providers, such as OpenAI, in…

Apr 29

Shifting Tides: The Competitive Edge of Open Source LLMs over Closed Source LLMs

Apr 29

Leonie Monigatti
in
Towards Data Science

Intro to DSPy: Goodbye Prompting, Hello Programming!

How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling

Feb 27

Feb 27

Leonie Monigatti
in
Towards Data Science

Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation

How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python

Feb 19

Advanced Retrieval-Augmented Generation (RAG) implements pre-retrieval, retrieval, and post-retrieval optimizations to a naive RAG pipeline

Feb 19

Leonie Monigatti
in
Towards Data Science

2023 in Review: Recapping the Post-ChatGPT Era and What to Expect for 2024

How the LLMOps landscape has evolved and why we haven’t seen many Generative AI applications in the wild yet — but maybe in 2024.

Dec 18, 2023

Jan: Prompt engineering, Mar: Flood of LLMs, Apr: prototyping LLM apps & emerging LLMOps landscape, May: Challenges of brinding GenAI apps to production, Jul: Retrieval-Augmented Generation to the rescue, Sep: Evaluating RAG pipelines

Dec 18, 2023

Leonie Monigatti
in
Towards Data Science

Evaluating RAG Applications with RAGAs

A framework with metrics and LLM-generated data to evaluate the performance of your Retrieval-Augmented Generation pipeline

Dec 13, 2023

Stylized performance dashboard for Retrieval-Augmented Generation

Dec 13, 2023

Leonie Monigatti
in
Towards Data Science

A Guide on 12 Tuning Strategies for Production-Ready RAG Applications

How to improve the performance of your Retrieval-Augmented Generation (RAG) pipeline with these “hyperparameters” and tuning strategies

Dec 6, 2023

A Guide on 12 Tuning Strategies for Production-Ready RAG Applications

Dec 6, 2023

Leonie Monigatti
in
Towards Data Science

Improving Retrieval Performance in RAG Pipelines with Hybrid Search

How to find more relevant search results by combining traditional keyword-based search with modern vector search

Nov 28, 2023

hybrid search bar

Nov 28, 2023

Leonie Monigatti

Leonie Monigatti

Developer Advocate @ Weaviate. Follow for practical data science guides - whether you're a data scientist or not. linkedin.com/in/804250ab

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams