BOTMARTZ AI COMMUNITY

Connect with 1,000+ AI Engineers, Builders & Founders! Access exclusive agent workflows.

Join Discord Community

Talk to an AI Architect

Home›Engineering Insights›OPEN SOURCE

OPEN SOURCE

Open Source Projects from Botmartz Labs You Should Know

Explore the open source developer tools, agent frameworks, and evaluation libraries published by Botmartz Labs.

BET

Botmartz Engineering Team

AI Engineer, Botmartz · April 15, 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 Quality Chunking Strategy Hybrid Search Continuous Evaluation Guardrails Takeaways

# Open Source Projects from Botmartz Labs You Should Know At Botmartz, open source engineering is core to our DNA. We continuously publish production-tested components and tools to help the AI engineering community build faster and more reliably. ## Highlighted Repositories - **Agent Evaluation Harness**: Automated test suites for measuring agent tool-use accuracy. - **Hybrid Search Utilities**: High-performance BM25 and vector indexing connectors. - **Streamlined RAG Templates**: Ready-to-deploy Next.js and FastAPI starter kits.

Closing Takeaways

✓

Measure retrieval precision and recall in isolation before touching the model.

✓

Chunk along document structure, not arbitrary character counts.

✓

Combine vector and keyword search — hybrid retrieval beats either alone.

✓

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

0 views

BET

Botmartz Engineering Team

AI Engineer at Botmartz, building enterprise RAG and agent systems in production. Contributing to open-source libraries.

Discussion (0)

No approved comments yet. Be the first to share your thoughts!

Leave a Comment

Your email address will not be published. Required fields are marked *

More Engineering Insights

ENTERPRISE RAGBuilding a Scalable Enterprise RAG System: Architecture, Components & Best Practices

Botmartz Engineering Team · 12 min read

AI AGENTSInside AI Agents: From Reasoning to Real-World Action

Soham Sharma · 9 min read

ARCHITECTUREMicroservices vs Monolith for AI Systems: What We Learned

Renee D. · 7 min read

MLOPSObservability for LLM Applications: Metrics That Matter

Harish R. · 8 min read

ENTERPRISE RAGAdvanced RAG Techniques: Hybrid Search, Reranking & Query Rewriting

Botmartz Team · 10 min read

AI AGENTSBuild an AI Chatbot with LangGraph and OpenAI: Step-by-Step

Botmartz Engineering Team · 11 min read

AI ENGINEERINGPrompt Engineering Patterns That Actually Work in Production

Botmartz Engineering Team · 8 min read

CASE STUDIESHow We Built a Legal Document Intelligence System for 100K+ Docs

Botmartz Engineering Team · 14 min read