Experimental News Clipping Site

Tag: retrieval

  • AWS News Blog: New Amazon Bedrock capabilities enhance data processing and retrieval

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    Source URL: https://aws.amazon.com/blogs/aws/new-amazon-bedrock-capabilities-enhance-data-processing-and-retrieval/ Source: AWS News Blog Title: New Amazon Bedrock capabilities enhance data processing and retrieval Feedly Summary: Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development. AI Summary and Description: Yes Summary: The text introduces several enhancements to Amazon Bedrock, particularly in the…

  • Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex

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    Source URL: https://cloud.google.com/blog/products/databases/llamaindex-integrates-with-alloydb-and-cloud-sql-for-postgresql/ Source: Cloud Blog Title: Build agentic RAG on Google Cloud databases with LlamaIndex Feedly Summary: AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases.…

  • Hacker News: Pinecone integrates AI inferencing with vector database

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    Source URL: https://blocksandfiles.com/2024/12/02/pinecone-integrates-ai-inferencing-with-its-vector-database/ Source: Hacker News Title: Pinecone integrates AI inferencing with vector database Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the enhancements made by Pinecone, a vector database platform, to improve retrieval-augmented generation (RAG) through integrated AI inferencing capabilities and security features. This development is significant for professionals engaged…

  • Hacker News: Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques

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    Source URL: https://github.com/athina-ai/rag-cookbooks Source: Hacker News Title: Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines a comprehensive resource on advanced Retrieval-Augmented Generation (RAG) techniques, which enhance the accuracy and relevance of responses generated by Large Language Models (LLMs) by integrating external…