From e3c0d88edd2fc2871bf0a86853071511cee22539 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:32:08 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/README.md b/README.md index 24c1f92..ba6ab3f 100644 --- a/README.md +++ b/README.md @@ -161,3 +161,14 @@ Query a question from Milvus knowledge base. **Returns:** - ***Answer (str):*** The answer to the question. + + +# More Resources + +- [Search and Information Retrieval in the Era of Generative AI - Zilliz blog](https://zilliz.com/learn/search-still-matters-enhance-information-retrieval-with-genai-and-vector-databases): Despite advances in LLMs like ChatGPT, search still matters. Combining GenAI with search and vector databases enhances search accuracy and experience. +- [Semantic Search with Milvus and OpenAI - Zilliz blog](https://zilliz.com/learn/semantic-search-with-milvus-and-openai): In this guide, we’ll explore semantic search capabilities through the integration of Milvus and OpenAI’s Embedding API, using a book title search as an example use case. +- [Enhancing RAG with Knowledge Graphs - Zilliz blog](https://zilliz.com/blog/enhance-rag-with-knowledge-graphs): Knowledge Graphs (KGs) store and link data based on their relationships. KG-enhanced RAG can significantly improve retrieval capabilities and answer quality. +- [Compare Vector Databases, Vector Search Libraries and Plugins - Zilliz blog](https://zilliz.com/learn/comparing-vector-database-vector-search-library-and-vector-search-plugin): Deep diving into better understanding vector databases and comparing them to vector search libraries and vector search plugins. +- [Metrics-Driven Development of RAGs - Zilliz blog](https://zilliz.com/blog/metrics-driven-development-of-rags): Evaluating and improving Retrieval-Augmented Generation (RAG) systems is a nuanced but essential task in the realm of AI-driven information retrieval. By leveraging a metrics-driven approach, as demonstrated by Jithin James and Shahul Es, you can systematically refine your RAG systems to ensure they deliver accurate, relevant, and trustworthy information. +- [What Is Semantic Search?](https://zilliz.com/glossary/semantic-search): Semantic search is a search technique that uses natural language processing (NLP) and machine learning (ML) to understand the context and meaning behind a user's search query. +- [Similarity Metrics for Vector Search - Zilliz blog](https://zilliz.com/blog/similarity-metrics-for-vector-search): Exploring five similarity metrics for vector search: L2 or Euclidean distance, cosine distance, inner product, and hamming distance. \ No newline at end of file