AWS Developers | Knowledge Bases for Amazon Bedrock: Chat with your Document @awsdevelopers | Uploaded 1 month ago | Updated 1 hour ago
Bringing your own data to generative AI helps to create more accurate and relevant responses. But training machine learning models can be costly and time-consuming. In this video, learn how Knowledge Bases for Amazon Bedrock uses retrieval augmented generation to quickly integrate your data with generative AI and help you build AI applications, without the need to provision vector stores.

💻 GitHub: github.com/build-on-aws/llm-rag-vectordb-python/blob/main/kb_chat_with_doc/KB_Chat_with_Doc.ipynb

Get started with Amazon Bedrock 👉 https://a.co/5qevmFH

Resources:
🌐 Community.AWS Post: https://community.aws/content/2f8r2NTW2dfUs6x0vvkWakidXa7/dolly-miley-or-beyonce-i-asked-the-new-chat-with-your-documents-feature-in-amazon-bedrock
🛠️ Documentation: docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-erag.html
📝 Blog Post:aws.amazon.com/blogs/machine-learning/knowledge-bases-in-amazon-bedrock-now-simplifies-asking-questions-on-a-single-document
💡 Knowledge Base Documentation: docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-chatdoc.html

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#generativeai #amazonbedrock #retrievalaugmentedgeneration