Leonie Monigatti – Medium

Leonie Monigatti

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Leonie Monigatti

Building Retrieval-Augmented Generation Systems

A collection of articles for developing production-ready RAG applications

4 min readApr 2, 2024

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Building Retrieval-Augmented Generation Systems

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Pinned

Leonie Monigatti
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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

2 min readMar 1, 2023

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Blueprint of the Kaggle duck

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Leonie Monigatti
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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

13 min readFeb 27, 2024

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Leonie Monigatti
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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

10 min readFeb 19, 2024

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

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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.

7 min readDec 18, 2023

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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

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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

8 min readDec 13, 2023

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Stylized performance dashboard for Retrieval-Augmented Generation

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Leonie Monigatti
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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

10 min readDec 6, 2023

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

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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

8 min readNov 28, 2023

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hybrid search bar

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Leonie Monigatti

Recreating Amazon’s New Generative AI Feature: Product Review Summaries

How to generate summaries from data in your Weaviate vector database with an OpenAI LLM in Python using a concept called “Generative…

8 min readNov 21, 2023

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Recreating Amazon’s New Generative AI Feature: Product Review Summaries

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Leonie Monigatti
in
Towards Data Science

Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation

From the theory of the original academic paper to its Python implementation with OpenAI, Weaviate, and LangChain

7 min readNov 14, 2023

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Retrieval augmented generation (RAG) workflow from user query through retrieval with a vector database to prompt stuffing and finally generating a response.

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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

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