{"data":{"full_name":"mongodb-developer/quickstart-rag-python","name":"quickstart-rag-python","description":"This Python project demonstrates semantic search using MongoDB and two different LLM frameworks: LangChain and LlamaIndex. The goal is to load documents from MongoDB, generate embeddings for the text data, and perform semantic searches using both LangChain and LlamaIndex frameworks.","stars":9.0,"forks":1.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"langchain-framework-guides","last_pushed_at":"2024-06-10T12:36:14+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":5.0,"maturity_score":1.0,"community_score":8.0,"quality_score":14.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T17:44:02.607510+00:00"}}