From ba5d165cc3a1991d586382a97e9a8cab6dc2cbf1 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:37:41 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/README.md b/README.md index c935e21..d6ef855 100644 --- a/README.md +++ b/README.md @@ -60,3 +60,13 @@ Only contains URLs that meet this condition. Filter out URLs that meet this condition. + + +# More Resources + +- [RAG Without OpenAI: BentoML, OctoAI and Milvus - Zilliz blog](https://zilliz.com/blog/rag-without-open-ai-bentoml-octoai-milvus): In this tutorial we will use BentoML to serve embeddings, OctoAI to get the LLM and Milvus as our vector database. +- [Building RAG with Llama3, Ollama, DSPy, and Milvus - Zilliz blog](https://zilliz.com/learn/how-to-build-rag-system-using-llama3-ollama-dspy-milvus): In this article, we aim to guide readers through constructing an RAG system using four key technologies: Llama3, Ollama, DSPy, and Milvus. First, let’s understand what they are. +- [An LLM Powered Text to Image Prompt Generation with Milvus - Zilliz blog](https://zilliz.com/blog/llm-powered-text-to-image-prompt-generation-with-milvus): An interesting LLM project powered by the Milvus vector database for generating more efficient text-to-image prompts. +- [Vectorizing and Querying EPUB Content with the Unstructured and Milvus - Zilliz blog](https://zilliz.com/learn/vectorize-and-query-epub-content-with-unstructured-and-milvus): In this post, we explore the vectorization and retrieval of EPUB data using Milvus and the Unstructured framework, offering developers actionable insights for enhancing LLM performance. +- [Vectorizing PDFs - Ingesting PDFs into Vector Databases with Milvus and Zilliz - Zilliz blog](https://zilliz.com/learn/transforming-pdfs-into-insights-vectorizing-and-ingesting-with-zilliz-cloud-pipelines): You will learn how Zilliz Cloud Pipeline transforms PDF data into a format ready for LLMs to use in semantic search tasks. Finally, we will conduct data retrieval using vector search. +- [Training Text Embeddings with Jina AI - Zilliz blog](https://zilliz.com/blog/training-text-embeddings-with-jina-ai): In a recent talk by Bo Wang, he discussed the creation of Jina text embeddings for modern vector search and RAG systems. He also shared methodologies for training embedding models that effectively encode extensive information, along with guidance o \ No newline at end of file