AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, and querying vectors by up to 90% compared to using a vector database, a ...
The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
Cloudian has launched its Hyperscale AI Data Platform, an on-premise S3-based storage platform plus artificial intelligence (AI) infrastructure bundle aimed at enterprises that want quick answers from ...
RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
It's no secret that ChatGPT, the artificial intelligence chatbot from OpenAI, has taken the world by storm and is reinventing how most of us complete everyday tasks. Now that OpenAI has open-sourced ...
For generative AI to live up to its promise of transforming the enterprise, it first needs to meet the needs of the enterprise. Large language models need business-specific context to minimize ...
Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your machine.
Pinecone, the vector database company, has announced the launch of Pinecone Serverless, a cheaper, faster and multi-tenant database that helps in building modern, LLM-based applications. Pinecone was ...