Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Anthropic Claude, Cohere Command, Google Gemini, Maritaca AI, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
Gemini is Code generator and Code Interpreter for Google Gemini.
Easy "1-line" calling of all LLMs from OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama
HTTP API for Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
A fullstack Nextjs template with a landing page, dashboard, auth, database, and everything you need to launch your app, gather feedback, and iterate fast.
A Ruby Gem created to communicate with Gemini via Vertex AI, Generative Language API, or AI Studio, Google's generative AI services. It works with Ruby versions 2.6.0 and higher.
AI conversation bot for foreign language practice
Building an AI chatbot using the Google Gemini AI API in Python
Modify a product image by replacing the background with Imagen
Google Gen AI module for NestJS supports both the Gemini and Vertex AI.
a demo to try out stuff and see how things work out for remind ryt
Matrix Factorization Recommender System: A scalable, cloud-based implementation using MongoDB, BigQuery, and Google Vertex AI for data processing, model training, and deployment.
Implementation of a Question Answering System using LLMs
A simple Retrieval-Augmented Generation (RAG) web application chatbot called Raggy 🤖
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