GitHub / mongodb-developer / quickstart-rag-python
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mongodb-developer%2Fquickstart-rag-python
PURL: pkg:github/mongodb-developer/quickstart-rag-python
Stars: 9
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 21.5 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 5 months ago
Pushed at: over 1 year ago
Last synced at: 4 months ago
Topics: langchain-python, llamaindex, mongodb-atlas, vector-database