AI Briefing#rag
The latest AI and developer news about #rag, with the original source and a short summary.
The latest AI and developer news about #rag, with the original source and a short summary.
This introduces how to build cost-efficient enterprise RAG applications and their architecture using Intel Gaudi 2 and Xeon CPUs.
RAG technology is expected to establish itself as a core technology in the AI ecosystem, beyond being a temporary trend.
Enterprise AI reduces the hallucinations and security issues of general-purpose LLMs through RAG and task-specific models.
Replit has launched early access to 'Replit Teams,' a new product for AI-powered collaborative software development.
AI21 presented 10 use cases for enterprise generative AI using TSMs.
This covers how to optimize the inference performance of embedding models on Intel CPU environments using Optimum Intel and fastRAG.
ContributorService and NetworkQueryEngine connect multiple RAGs together like a network.
Alongside the launch of LlamaCloud, news on Sub-Document Summaries, MistralAI, Gemma, and ColBERT was bundled together.
Counselor Copilot is an AI assistant that helps crisis counselors with chat and document work.
LlamaIndex has unveiled LlamaCloud, a managed parsing, ingestion, and retrieval service.
LlamaIndex has unveiled LlamaCloud, a managed RAG pipeline featuring complex PDF parsing.
Implement a Multimodal RAG that jointly retrieves images, audio, and text from video using LlamaIndex and LanceDB.
Alongside the v0.10 release, it introduces new integrations and learning resources for RAG and agents.
A major overhaul that separates the core and integration packages and deprecates ServiceContext.
AI21 and AWS demonstrated RAG- and TSM-based generative AI use cases at a hackathon.
OpenAI announced new embedding models with improved performance and lower pricing, along with a GPT-3.5 Turbo update.
RAG retrieves an organization's own documents to boost the accuracy and practicality of generative AI.
Introduces how to build and deploy a production-grade RAG application by combining Pinecone Serverless, LangServe, and LangSmith.
Digital Green cuts agricultural support costs by 100x through Farmer.Chat, built on OpenAI technology, delivering personalized information.
High-performance vector database **Qdrant** has launched a **Replit** template to help developers implement RAG and streamline onboarding.
AI21 forecast that in 2024, enterprise AI will move beyond pilots into production.
Replit has unveiled 9 AI templates to help businesses quickly integrate the latest AI tools.
Weights & Biases built 'WandBot,' a RAG-based Q&A bot, using Llama-index and GPT-4.
LangChain has launched a dataset and results sharing feature in LangSmith to help developers easily compare and validate LLM architectures.