- Sunnyvale, CA, US
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13:13
(UTC -06:00) - https://lamhotsiagian.github.io/
- https://coff.ee/lamhot
- https://www.upwork.com/freelancers/~01977a51dfeeb4016c
Highlights
Pinned Loading
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rag-techniques-playbook
rag-techniques-playbook PublicA comprehensive catalog of 34 Retrieval-Augmented Generation (RAG) techniques. Features Python pseudocode, pros/cons, and architecture concepts ranging from basic retrieval to advanced agentic RAG,…
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loraxbench-batak-gpt52-eval
loraxbench-batak-gpt52-eval PublicEvaluating GPT-5.2 on Batak Toba Language Accuracy and Multi-Metric Analysis with BLEU, METEOR, ROUGE, BERTScore, and COMET
Python 2
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batak-safety-benchmark
batak-safety-benchmark PublicBatakJailbreakBench: A Low-Resource Batak Toba Safety Benchmark for Jailbreak Resistance and Refusal–Leakage Behavior in LLMs
Python 1
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ai-topic-interview-email-agent
ai-topic-interview-email-agent PublicAI email agent that reads interview topics from a public Google Sheet (CSV), generates 10 Q&A with OpenAI, and sends them to your inbox via SMTP. Built with Python, Requests, python-dotenv, and Ope…
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retail_rag_sim
retail_rag_sim PublicAn enterprise-grade Multi-Agent RAG system using LangGraph (Planner-Executor-Verifier). Features hybrid retrieval (Chroma+BM25+Re-ranking), external tool calling (SQL, APIs, Email), hallucination-r…
Python 1
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langchain-local-rag-qa-handbook
langchain-local-rag-qa-handbook PublicA 100% local Question Answering (QA) system built with LangChain RAG. This project loads a QA handbook PDF, creates embeddings locally, stores them in FAISS, and answers questions using a local LLM…
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