Gemini

Exploring Google's Gen AI Toolbox for Databases: A New Era of Database Querying

Introduction

In the ever-evolving landscape of AI and machine learning, Google’s Gen AI Toolbox for Databases stands out. This open-source server enables developers to connect generative AI applications to enterprise databases, facilitating prompt-based querying and natural language processing (NLP). Whether you’re setting up your LLM on-premises using OLLAMA or leveraging providers like Gemini, Claude, or OpenAI, this toolbox offers a versatile and powerful solution. Lets explore it in detail.

Using local LLM with Ollama and Semantic Kernel

Introduction

Artificial Intelligence, especially Large language models (LLMs) are all in high demand. Since OpenAI released ChatGPT, interest has gone up multi-fold. Since 2023, Powerful LLMs can be run on local machines. Local Large Language Models offer advantages in terms of data privacy and security and can be enriched using enterprise-specific data using Retrieval augmentation generation (RAG).Several tools exist that make it relatively easy to obtain, run and manage such models locally on our machines. Few examples are Ollama, Langchain, LocalAI.