Farzad Sunavalafarzzy.hashnode.dev·Dec 10, 2024Building and Evaluating a Retrieval Augmented Generation (RAG) Pipeline with LlamaIndex, Azure AI Search, Azure OpenAI, Literal AI, and RAGAS💡 DISCLAIMER: This post is intended for educational purposes only. Actual results may vary depending on your dataset, environment, and configurations. Retrieval Augmented Generation (RAG) solutions combine Large Language Models (LLMs) with externa...2 likes·83 readsliteral ai
Siddarthacloudqa.hashnode.dev·Nov 13, 2024RAGAS for RAG app evaluation (with aws bedrock)pip install -U llama-index llama-index-core pip install langfuse datasets ragas llama_index python-dotenv openai --upgrade pip install ragas TRY 2 pip install pyarrow==16.1.0 pip install nltk pip install ragas pip install boto3 In credentials file h...ragas
M Quamer Nasimquamernasim.hashnode.dev·Jul 24, 2024Mastering RAG: Choosing the Right Vector Embedding Model for Your RAG ApplicationRetrieval-Augmented Generation (RAG) applications are becoming increasingly popular as large language models (LLMs) improve. These applications combine retrieval and generation to provide accurate, contextually relevant responses. Validating and eval...183 readsRAG
Ritobroto Sethrito.hashnode.dev·Jun 18, 2024Evaluating RAG with RagasThis blog post provides a technical guide to evaluating Retrieval Augmented Generation (RAG) pipelines using the Ragas framework. What Is the Ragas Framework? Ragas facilitates a comprehensive assessment of RAG pipeline performance by evaluating bot...9 likes·555 readsLlamaIndex
Jithin JamesforExploding Gradientsexplodinggradients.com·Sep 6, 2023Evaluating RAG pipelines with Ragas + LangsmithHow important evals are to the team is a major differentiator between folks rushing out hot garbage and those seriously building products in the space. This HackerNews comment emphasizes the importance of having a robust eval strategy when taking yo...1.2K readsragas
