A5

Assignment 5 - Utilizing Hadoop Ecosystem to Implement RAG for Chain of Thought Reasoning in Language Models

Final Project Report

Presentation

Local setup

sudo python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
deactivate

Some necessary changes in eurelis_langchain_solr_vectorstore package

• Locate the package in the venv directory
• In the solr_core.py file, in function vector_search comment out the following line:

for solr_field,  in doc.items():
    metadata_key = SolrCore.metadata_key_for_field_name(solr_field)
    if not metadata_key or not isinstance(value, (str, int, float, bool)):
        continue
    metadata[metadata_key] = value

• In the types.py file, redefine the function _results_to_docs_and_scores as follows:

def _results_to_docs_and_scores(results: Any) -> List[Tuple[Document, float]]:
    return [
        (Document(page_content=str(results["documents"][0][i][0]), metadata=results["metadatas"][0][i] or {}), results["distances"][0][i])
        for i in range(len(results["documents"][0]))
    ]

Run

make all
source venv/bin/activate
flask --app WebInterface run --host=0.0.0.0 --port=20000

Contribute

git checkout -b <branch-name>
git rm -r --cached .
git add .
git commit -m "commit message"
git push origin <branch-name>

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