We’ve made significant progress this past week on IdeaWeaver, our open-source CLI tool designed for training, fine-tuning, evaluating, and deploying AI models. If you're working on language models or building your own GenAI pipelines, here's what we released:
June 23: Advanced Model Evaluation
- Integrated EleutherAI’s lm-evaluation-harness to run standardized benchmarks across reasoning, knowledge, and language tasks.
- Native support for experiment tracking using Weights & Biases (wandb) and TensorBoard.
- A/B testing and side-by-side model comparisons are now easier than ever.
June 24: Smarter RAG Pipelines
- Added hybrid retrieval (semantic + keyword-based) and cross-encoder reranking.
- Agentic RAG built with LangGraph for intelligent routing.
- RAGAS integration for quality scoring and multiple vector store options (Chroma, Qdrant, local/cloud).
- Includes semantic chunking for context-aware document segmentation.
June 25: Multi-Agent Content Generation
- Rolled out AI agents for content workflows:
- Instagrampost generators
- Powered by modular agent pipelines (built-in to the CLI).
June 26: Streamlined Model Downloads
- Download and validate Hugging Face models with one command.
- Automatically extract metadata, manage local storage, and organize models by project.
- Supports batch downloads and integrates with training pipelines.
June 27: Docker & Kubernetes Deployment
- One-command Docker image builds with FastAPI-based inference servers.
- Why This Matters
- Covers the full ML lifecycle: from training to deployment
- RAG, agents, evaluation, and observability tools are built-in
- Production-ready out of the box
- CLI-first, open-source, and built for developers
Links
Docs: https://ideaweaver-ai-code.github.io/ideaweaver-docs/
GitHub: https://github.com/ideaweaver-ai-code/ideaweaver
Questions for the community:
- What’s the biggest pain point you’ve experienced when training or deploying LLMs?
- Which feature above would be most useful in your workflow?
We're actively improving IdeaWeaver on a weekly basis. Open to feedback, contributions, and ideas for future features.
And if you find IdeaWeaver useful, a ⭐ on the repo would mean a lot!
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