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Alejandro AO
VERIFIED TECHNICAL DOSSIERSources checked

Alejandro AO

AI Systems Engineer & Creator

2 Verified ArtifactsSource Checked & Attributed
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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Alejandro AO. Every entry undergoes editorial source verification.

#1
EXPLANATION Checked Sep 22, 2026

Production RAG Pipeline with LangChain, Pinecone, and Python

Step-by-step engineering walkthrough demonstrating document chunking strategies, embedding generation, vector similarity search, and context injection with evaluation metrics.

Model & Execution Context:LangChain, Pinecone vector database, OpenAI text-embedding-3-small, GPT-4o.
Scope & Limitations

Chunking strategies require domain-specific tuning for dense tabular or nested documents.

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#2
IMPLEMENTATION Checked Sep 22, 2026

Ask-My-PDF and Enterprise Chatbot Repositories

Authored open-source repositories with thousands of stars demonstrating end-to-end full-stack PDF retrieval chat interfaces using Streamlit, FastAPI, and LangChain.

Model & Execution Context:Python, PyPDF, Streamlit, LangChain, FAISS local vector store.
Scope & Limitations

In-memory vector indexing with FAISS is bounded by container RAM on multi-gigabyte document sets.

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