baml

Unofficial revival of the well known .NET debugger and assembly editor, dnSpy

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

Construct knowledge graphs from unstructured data sources, then use graph algorithms for enhanced GraphRAG, and a BAML-based chat bot

Demo of knowledge graph creation and Graph RAG with BAML and Kuzu

Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles

Getting started with BAML for creating and querying knowledge graphs with LLMs

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

BAML Editor with dnlib in .NET

Generate BAML style prompts from dry-schema that can get and check structured responses from LLMs

Micro benchmark comparing DSPy and BAML for structured outputs

Experiments and benchmarks with Text2Cypher for Graph RAG

Python library for dynamic BAML schema generation and LLM structured data extraction. Built on BoundaryML with support for OpenAI, Anthropic, Ollama, and OpenRouter.

Dynamic BAML is a Python library that simplifies data extraction from text using Large Language Models and dynamically generated schemas. With a focus on ease of use and type safety, it integrates smoothly with various providers, making it a versatile tool for developers. 🐙🌟

Boundary ML based LLM calculator

My Github-Pages Page

BAML .NET Client Library

Agente de IA simples com acesso à base de dados do INPI e capacidades de cálculo, desenvolvido com BAML e TypeScript

Build reliable LLM applications with the 12-Factor Agents principles. Explore best practices and contribute to our open-source project on GitHub! 🚀🌟

Converts PDFs of resume to JSON with locally run llama3.2

Benchmarks to help find the best, fastest and cheapest open models for structured output and tool use