awesome-ml-gen-ai-elixir

LLM agent observability with telemetry, token tracking, and OpenTelemetry spans following OpenInference conventions.

Semantic similarity testing library using a wave operator (

SDK for the Model Context Protocol (MCP) with support for multiple transport options (STDIO, HTTP/SSE, WebSocket).

Embeddable RAG library for Elixir/Phoenix with agentic pipelines and dashboard.

Structured outputs, vectorization and tool calling for your Ash application with LangChain integration and MCP server capabilities.

Elixir SDK for serving AI agent commerce protocols (UCP and ACP) from a single Phoenix handler. Supports Google Shopping agents (UCP) and OpenAI/Stripe agents (ACP) with automatic request/response translation between protocols.

Interactive guide using Livebook to asynchronous data processing in Elixir.

Livebooks that José used for talks and Advent of Code.

Livebooks following along with the book

Livebook notebooks with code examples for the

Neural Networks for Elixir. Built with Nx.

Pre-trained neural network models on top of Axon. Provides integration with

OpenCV bindings for Elixir/Erlang.

Elixir front-end to Facebook AI Similarity Search (Faiss) for efficient similarity search and clustering of dense vectors.

Decision Trees implemented using the

Elixir bindings for the Leiden community detection algorithm.

Series and dataframes for data exploration in Elixir.

Render rich and interactive output. Used in Livebook.

Write interactive and collaborative notebooks, with integrations to databases, messaging, visualization and more.

Tensors for Elixir with compilation to CPU/GPU. It is the base for a lot of other libraries.

Embeds a Python interpreter directly into Elixir via NIF, running in the same OS process as the BEAM. Enables Elixir apps and Livebooks to call Python ML libraries directly.