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The rise of AI has made it easier to create powerful generative AI apps. This blog post delves into using LangChain, Amazon DocumentDB's vector search, and Anthropic's Claude to build a semantic search chatbot.

Highlights include:

· Ingesting/indexing content with LangChain from the Amazon DocumentDB Developer Guide
· Using Amazon Titan Embeddings for vector representations
· Applying Retrieval Augmented Generation (RAG) for context in language models
· Chatbot deployment via Amazon Bedrock and DocumentDB

Discover how to craft generative AI solutions on AWS by reading the full post.

Vendor:
AWS
Posted:
Jul 9, 2024
Published:
Jul 9, 2024
Format:
HTML
Type:
Blog

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