patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
AI agents, automations and apps that run your operations. Model agnostic.
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Spec-driven development for large codebases
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
2 captures since 2026-05-25
pyproject.toml
· python · 53 dependencies
setup.cfg
· python · 0 dependencies
website/package.json
· javascript · 21 dependencies
website/package-lock.json
· javascript · 746 dependencies
examples/adaptive-crag/requirements.txt
· python · 7 dependencies
examples/custom-serde/requirements.txt
· python · 4 dependencies
examples/deep-researcher/requirements.txt
· python · 3 dependencies
examples/email-assistant/requirements.txt
· python · 2 dependencies
examples/hamilton-integration/requirements.txt
· python · 9 dependencies
examples/hello-world-counter/requirements.txt
· python · 1 dependencies