Computing11mon
AI interview: Chunk wisely to avoid RAG hell
"Almost any developer worth their salt could build a RAG application with an LLM ... a chunk should be a discrete piece of information with minimal overlaps. This is because the vector database ...
VentureBeat26d
Beyond RAG: How cache-augmented generation reduces latency, complexity for smaller workloads
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage ... enable the LLM to craft more accurate responses. However, RAG introduces ...
Hosted on MSN11mon
Opening up Generative AI
Generative AI ... vector data, you can find the best semantic matches. These matches can then be shared to your LLM, and used to provide context when the LLM creates the response to the user. RAG ...
JD Supra6d
Private LLMs vs. RAG Systems? Choosing the Right AI Strategy for Your Legal Organization
As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating ...
DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
Business Insider9mon
AI chatbots spew out nonsense too often. But there's a solution: retrieval-augmented generation.
Any data used for RAG must be converted to a vector database, where it's stored as a series of numbers an LLM can understand. This is well-understood by AI engineers ... a small chunk of text.