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Artificial intelligence
fromInfoQ
7 months ago

Anthropic Unveils Contextual Retrieval for Enhanced AI Data Handling

Anthropic's Contextual Retrieval improves AI systems' efficiency in managing knowledge bases by enhancing contextual understanding and reducing context loss.
fromTechzine Global
2 weeks ago
Roam Research

QNAP brings RAG feature to Qsirch engine

QNAP's RAG Search Beta revolutionizes NAS data searching with intuitive context-aware functions.
Artificial intelligence
fromInfoQ
7 months ago

Anthropic Unveils Contextual Retrieval for Enhanced AI Data Handling

Anthropic's Contextual Retrieval improves AI systems' efficiency in managing knowledge bases by enhancing contextual understanding and reducing context loss.
fromTechzine Global
2 weeks ago
Roam Research

QNAP brings RAG feature to Qsirch engine

QNAP's RAG Search Beta revolutionizes NAS data searching with intuitive context-aware functions.
more#ai
#llm
fromTechzine Global
1 month ago
Marketing tech

Kong AI Gateway 3.10 helps secure AI deployments

Kong's AI RAG Injector addresses LLM hallucinations by integrating data from a vector database, improving security and compliance.
fromPybites
10 months ago
Data science

Introducing EXact-RAG: The Ultimate Local Multimodal Rag - Pybites

eXact-RAG is a powerful multimodal model integrating text, visual, and audio information for enhanced content understanding and generation.
fromHackernoon
3 years ago
Roam Research

Build a Fully Local RAG System with rlama and Ollama-No Cloud, No Dependencies | HackerNoon

RAG enhances LLM responses by retrieving relevant document snippets, and rlama enables a fully local, offline implementation for data privacy.
fromTechzine Global
1 month ago
Marketing tech

Kong AI Gateway 3.10 helps secure AI deployments

Kong's AI RAG Injector addresses LLM hallucinations by integrating data from a vector database, improving security and compliance.
fromPybites
10 months ago
Data science

Introducing EXact-RAG: The Ultimate Local Multimodal Rag - Pybites

eXact-RAG is a powerful multimodal model integrating text, visual, and audio information for enhanced content understanding and generation.
fromHackernoon
3 years ago
Roam Research

Build a Fully Local RAG System with rlama and Ollama-No Cloud, No Dependencies | HackerNoon

RAG enhances LLM responses by retrieving relevant document snippets, and rlama enables a fully local, offline implementation for data privacy.
more#llm
Marketing tech
fromTechzine Global
1 month ago

Microsoft expands AKS with RAG functionality and vLLM support

Microsoft enhances Azure Kubernetes Service with RAG support in KAITO, enabling advanced search capabilities for developers.
vLLM serving engine improves processing speed for model inference workloads in Azure Kubernetes Service.
fromHackernoon
1 month ago
Roam Research

Want AI to Actually Understand Your Code? This Tool Says It Can Help | HackerNoon

CocoIndex uses Tree-sitter to enhance semantic chunking for effective codebase indexing in RAG systems.
Artificial intelligence
fromInfoWorld
2 months ago

What is retrieval-augmented generation? More accurate and reliable LLMs

RAG enhances the accuracy of large language models by integrating external data sources, but it isn't a comprehensive solution.
#artificial-intelligence
Artificial intelligence
fromMedium
2 months ago

Mastering RAG: Enhancing AI Applications with Retrieval-Augmented Generation

RAG integrates retrieval mechanisms with generative language models, enhancing AI response accuracy and relevance.
fromHackernoon
1 year ago
Artificial intelligence

RAG Revisited | HackerNoon

RAG has become overly relied upon in AI implementations, but its complexity may not always be necessary or beneficial for all use cases.
fromHackernoon
2 years ago
Data science

What Is Retrieval-Augmented Generation (RAG) in LLM and How Does It Work? | HackerNoon

Retrieval-Augmented Generation (RAG) integrates information retrieval directly into the language generation process, enhancing model responses with real-world data.
Artificial intelligence
fromMedium
2 months ago

Mastering RAG: Enhancing AI Applications with Retrieval-Augmented Generation

RAG integrates retrieval mechanisms with generative language models, enhancing AI response accuracy and relevance.
fromHackernoon
1 year ago
Artificial intelligence

RAG Revisited | HackerNoon

RAG has become overly relied upon in AI implementations, but its complexity may not always be necessary or beneficial for all use cases.
fromHackernoon
2 years ago
Data science

What Is Retrieval-Augmented Generation (RAG) in LLM and How Does It Work? | HackerNoon

Retrieval-Augmented Generation (RAG) integrates information retrieval directly into the language generation process, enhancing model responses with real-world data.
more#artificial-intelligence
Artificial intelligence
fromMedium
9 months ago

Podcast: Small Language Models with Luca Antiga

Explore Small Language Models (SLMs) and their significance in AI industry through an interview with Luca Antiga, CTO of Lightning AI on ODSC's Ai X Podcast.
fromTNW | Deep-Tech
11 months ago
Data science

The key technologies fuelling chatbot evolution

To enhance chatbot performance, advanced techniques like Retrieval-Augmented Generation (RAG) leverage real-time external information sources for more accurate and contextually relevant responses.
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