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mllendinez10/README.md

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About me

I am a Knowledge Graph Engineer with experience working across different types of databases. I have always enjoyed working with data and understanding how it can be structured, connected and turned into something useful.

Currently, I am exploring how different forms of data can be made accessible to AI applications. I learn best by building, so this GitHub is where I document that journey.

What I'm building

Building AI applications for product data using:

  • RAG for unstructured data such as documents
  • Text-to-SQL for structured data stored in relational databases
  • GraphRAG with different retrieval methods for connected data stored in knowledge graphs

A key focus of my work is evaluation: measuring retrieval and answer quality across different use cases to understand the strengths and limitations of each approach.

Featured Projects

Project Description
rag-from-scratch RAG chatbot built from scratch to answer questions from unstructured data such as documents, using keyword, semantic and hybrid retrieval
text-to-sql-from-scratch Text-to-SQL chatbot that turns natural language questions into SQL, queries structured product data and returns a clear answer
graphrag-text2cypher-from-scratch GraphRAG chatbot built from scratch using Text2Cypher retrieval to generate Cypher queries from natural language questions and answer using connected product data in a knowledge graph
graphrag-enhanced-vector-search-from-scratch GraphRAG product finder built from scratch using graph enhanced vector search over descriptive product data to retrieve products based on user needs

Technologies

Python · Relational Databases · Knowledge Graphs · Vector Databases · SQL · Cypher · RAG · Text-to-SQL · GraphRAG · LLMs

Pinned Loading

  1. rag-from-scratch rag-from-scratch Public

    Building a RAG pipeline from scratch in Python to understand the fundamentals. Document loading, chunking, embeddings, vector search, retrieval and LLM based generation.

    Python

  2. graphrag-text2cypher-from-scratch graphrag-text2cypher-from-scratch Public

    Building a GraphRAG pipeline with text2cypher retrieval from scratch in Python to understand how an LLM can answer questions using a knowledge graph as its knowledge base.

    Python

  3. text-to-sql-from-scratch text-to-sql-from-scratch Public

    Building a Text-to-SQL pipeline from scratch in Python to understand how an LLM can answer questions using a SQL database as its knowledge base.

    Python

  4. graphrag-enhanced-vector-search-from-scratch graphrag-enhanced-vector-search-from-scratch Public

    Building a GraphRAG pipeline with enhanced vector search retrieval from scratch in Python to understand how descriptive product data can be used to retrieve products based on user needs.

    Python