Tag: embedding model
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Hacker News: Roaming RAG – Make the Model Find the Answers
Source URL: http://arcturus-labs.com/blog/2024/11/21/roaming-rag–make-_the-model_-find-the-answers/ Source: Hacker News Title: Roaming RAG – Make the Model Find the Answers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a novel approach called “Roaming RAG,” which simplifies the retrieval-augmented generation (RAG) model by allowing a large language model (LLM) to directly navigate well-structured documents without the…
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Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex
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.…
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Hacker News: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking
Source URL: https://www.pinecone.io/blog/cascading-retrieval/ Source: Hacker News Title: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking Feedly Summary: Comments AI Summary and Description: Yes Summary: Pinecone has introduced new cascading retrieval capabilities for AI search applications, enhancing the integration of dense and sparse retrieval systems. These advancements, which reportedly improve performance by up to…
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Hacker News: 32k context length text embedding models
Source URL: https://blog.voyageai.com/2024/09/18/voyage-3/ Source: Hacker News Title: 32k context length text embedding models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the launch of the Voyage 3 series embedding models, which provide significant advancements in retrieval quality, latency, and cost-effectiveness compared to existing models like OpenAI’s. Specifically, the Voyage 3 models…
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Simon Willison’s Weblog: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast
Source URL: https://simonwillison.net/2024/Nov/22/weeknotes/#atom-everything Source: Simon Willison’s Weblog Title: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast Feedly Summary: These past few weeks I’ve been bringing Datasette and LLM together and distracting myself with a new sort-of-podcast crossed with a live streaming experiment. Project: interviewing people about their projects Datasette Public Office…
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Simon Willison’s Weblog: llm-gguf 0.2, now with embeddings
Source URL: https://simonwillison.net/2024/Nov/21/llm-gguf-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: llm-gguf 0.2, now with embeddings Feedly Summary: llm-gguf 0.2, now with embeddings This new release of my llm-gguf plugin – which adds support for locally hosted GGUF LLMs – adds a new feature: it now supports embedding models distributed as GGUFs as well. This means you can…
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Hacker News: All-in-one embedding model for interleaved text, images, and screenshots
Source URL: https://blog.voyageai.com/2024/11/12/voyage-multimodal-3/ Source: Hacker News Title: All-in-one embedding model for interleaved text, images, and screenshots Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces the release of voyage-multimodal-3, a cutting-edge multimodal embedding model that enhances the capability of semantic search and retrieval tasks involving both text and images. Its ability to…
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Cloud Blog: How Shopify improved consumer search intent with real-time ML
Source URL: https://cloud.google.com/blog/products/data-analytics/how-shopify-improved-consumer-search-intent-with-real-time-ml/ Source: Cloud Blog Title: How Shopify improved consumer search intent with real-time ML Feedly Summary: In the dynamic landscape of commerce, Shopify merchants rely on our platform’s ability to seamlessly and reliably deliver highly relevant products to potential customers. Therefore, a rich and intuitive search experience is an essential part of our…
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Hacker News: Show HN: AnythingLLM – The Open-Source, All-in-One Desktop AI Assistant
Source URL: https://news.ycombinator.com/item?id=41457633 Source: Hacker News Title: Show HN: AnythingLLM – The Open-Source, All-in-One Desktop AI Assistant Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces AnythingLLM, an open-source desktop assistant that emphasizes user privacy while integrating multiple AI functionalities. It caters to users with varying technical skills, providing an all-in-one solution…