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Open Source Projects from Botmartz Labs You Should Know

Explore our open-source projects that power real-world AI systems and developer productivity.

BL
Botmartz Labs
AI Engineer, Botmartz · April 10, 2024 · 6 min read
◈ Open in Google Colab⌥ View Code on GitHub
Read Time
6 min
Failure Modes
5
Code Snippets
3
Runnable Notebook
1
Botmartz AI Insight
Evaluating Retrieval, Chunking, and Generation in Production
Retrieval QualityChunking StrategyHybrid SearchContinuous EvaluationGuardrailsTakeaways
# Open Source Projects from Botmartz Labs You Should Know At Botmartz, we believe in giving back to the developer community. Our Labs division regularly open-sources core packages, datasets, and boilerplate templates. ## Featured Repositories 1. **RAG-Evaluation-Toolkit**: Tools to automate groundedness and relevance testing. 2. **Agent-Orchestration-Boilerplate**: A fast, production-ready starting point for LangGraph agents. 3. **Vector-Benchmarking-Suite**: Evaluate vector database performance across diverse datasets.

Closing Takeaways

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Measure retrieval precision and recall in isolation before touching the model.
✓
Chunk along document structure, not arbitrary character counts.
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Combine vector and keyword search — hybrid retrieval beats either alone.
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Treat evaluation as continuous infrastructure, not a launch-week report.
Try It Yourself
A runnable Google Colab notebook with the eval harness and hybrid search code from this post.
◈ Open in Colab⌥ GitHub Repo
#Enterprise RAG#Evaluation#Production AI#LangChain
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BL
Botmartz Labs
AI Engineer at Botmartz, building enterprise RAG and agent systems in production. Contributing to open-source libraries.

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