Shravan KumarAgentic RAG for Accurate and Complete ContextRetrieval-Augmented-Generation (RAG) is “using an LLM to answer a user query, but basing the answer on information retrieved from a…Oct 1Oct 1
Shravan Kumar📣 HUGE NEWS! …Llama 3.2 is here! 🦙Meta has released Llama 3.2, bringing multimodal capabilities and tiny Llamas for on-device usage! 🎉Sep 26Sep 26
Shravan KumarAgentic RAG : How to Reduce the Cost and Improve the Speed of RetrievalLet us assume that we are creating an enterprise RAG application. The data sources for this assumption need to be divided into chunks. For…Sep 22Sep 22
Shravan KumarIntroducing OpenAI Strawberry 🍓 o1-previewOpenAI has actively started releasing its new series of reasoning models for soving hard and complex problems.Sep 13Sep 13
Shravan KumarAdaptive RAG with Self-ReflectionHere is the basic traditional RAG architecture.Sep 8Sep 8
Shravan KumarMultimodal RAG with GPT-4-Vision and LangChainMultimodal RAG with GPT-4-Vision and LangChain refers to a framework that combines the capabilities of GPT-4-Vision (a multimodal version…Sep 4Sep 4
Shravan KumarFramework to Choose the Right LLM for your BusinessAs we see a tremendous increase in the hype around AI and LLM usage we all need to be aware that it is just going to be a matter of time…Aug 30Aug 30
Shravan KumarAgent & Tools — ReAct DocStoreThe ReAct DocStore integrates the ReAct (Reasoning and Acting) agent framework with document retrieval and question-answering capabilities…Aug 29Aug 29
Shravan KumarAgent & Tools — ReAct ChatAgent & Tools — ReAct Chat refers to a framework used in conversational AI where an agent (usually powered by a language model) interacts…Aug 28Aug 28