Example of a Retrieval-Augmented Generation with Postgres, pgvector, ollama, Llama3 and Go.

Cloud native backend services for the Chatbot app

A simple app for visualising vector embeddings

RAG Powered Recommendation Engine Using Your Plex Data

llama-index-go is a data framework for your LLM applications for Golang

A CLI tool written in Go to chat with your pdf data

Kikiola is a high-performance vector database written in Go.

Go client for Tavily Search API.

Opensource private chatGPT for your organization knowledge

Unified API for LLM at Scale

Custom dashboard for Fitbit users. RAG support (gemini-based) for chatting with your data and getting insights about your fitness activities and sleep data

Go implementation of @Qdrant/fastembed.

A sentence splitting (sentence boundary disambiguation) library for Go. It is rule-based and works out-of-the-box.

Enable AI to quickly retrieve content, simply!

🚀 Building Go applications with LLMs through composability

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Multi-node production AI stack. Run the best of open source AI easily on your own servers. Create your own AI by fine-tuning open source models. Integrate LLMs with APIs. Run gptscript securely on the server

A diverse, simple, and secure one-stop LLMOps platform

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

The Kubernetes operator for K8ssandra