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Artificial intelligence
fromInfoQ
1 week ago

The Data Backbone of LLM Systems

Retrieval-augmented generation (RAG) dominates practical LLM application development, shifting work toward software engineering, data engineering, and information retrieval instead of model fine-tuning.
fromDevOps.com
1 week ago

Empromptu Unveils Vibecoding Platform for Building Enterprise-Class Apps - DevOps.com

Company CEO Shanea Leven said, unlike other so-called vibecoding platforms that provide a wrapper around a foundational AI model, the Empromptu platform is designed from the ground up to enable application developers to build enterprise applications that are designed to scale using a set of proprietary AI response optimization frameworks and backend services. The Empromptu platform also provides retrieval-augmented generation (RAG) and large language model operations (LLMOps) tooling to provide DevOps teams with a complete
Artificial intelligence
Artificial intelligence
fromMedium
1 week ago

Orchestrating RAG pipelines with Apache Airflow

Apache Airflow provides flexible, reliable orchestration for production GenAI pipelines, enabling tool-agnostic, extensible, retry-capable workflows for embeddings, vector storage, and query pipelines.
Artificial intelligence
fromInfoQ
1 week ago

Effective Practices for Architecting a RAG Pipeline

Hybrid vector and term-based search, properly tuned, achieves the best retrieval for RAG pipelines answering documentation questions.
Digital life
fromNieman Lab
1 month ago

How newsrooms are using AI to "smell the data"

RAG enhances chatbot reliability by using publisher archives to provide accurate answers with citations.
Artificial intelligence
fromHackernoon
2 years ago

RAG Systems Are Breaking the Barriers of Language Models: Here's How | HackerNoon

Retrieval-Augmented Generation (RAG) systems provide up-to-date information, addressing the limitations of static large language models.
fromInfoWorld
2 months ago

How to create your own RAG applications in R

Basic RAG performed well for general topics but struggled with questions involving time, like identifying workshops next month, due to lack of metadata filtering.
Web development
Software development
fromHackernoon
6 months ago

Your Repo Has Secrets. Indexing Tells AI Where They Are. | HackerNoon

AI-assisted development is changing code interaction, necessitating codebase indexing for accurate and fast assistance from LLMs.
fromHackernoon
3 years ago

I Built a Titan-Powered GenAI Chatbot But Buying Amazon Q Might Still Be Smarter | HackerNoon

While my Gen AI chatbot significantly improves document searching efficiency, I wonder if it can truly compete with the pricing and performance of established solutions like Amazon Q.
Artificial intelligence
Artificial intelligence
fromMedium
4 months ago

AI Made Simple -What Every Conversation Designer Should Know (Series)-RAG Basics

RAG enhances large language model performance by integrating external data sources for accurate responses.
fromMedium
4 months ago

AI Made Simple -What Every Conversation Designer Should Know (Series)-RAG Basics

Chunking the content involves breaking down materials into smaller, manageable pieces, allowing language models to process and retrieve relevant information efficiently for generating responses.
Artificial intelligence
#ai
fromClickUp
4 months ago
Artificial intelligence

MCP vs. RAG vs. AI Agents: Who Leads AI in 2025? | ClickUp

Next-gen AI architectures like RAG, MCP, and AI agents enhance LLMs beyond basic language generation.
fromTechzine Global
4 months ago
Roam Research

QNAP brings RAG feature to Qsirch engine

QNAP's RAG Search Beta revolutionizes NAS data searching with intuitive context-aware functions.
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