Skip to content
#

pinecone-db

Here are 13 public repositories matching this topic...

These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.

  • Updated Jul 13, 2025
  • Python

These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.

  • Updated May 27, 2025
  • Python

Movie Recommendation System: A content-based recommendation platform built with Python, Pinecone, and Streamlit. The system provides personalized movie suggestions based on genres and metadata, allowing users to explore tailored recommendations. With interactive genre filtering & clean interface, the app enhances movie discovery , hosted on render.

  • Updated Apr 20, 2025
  • Python

Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.

  • Updated Jun 30, 2025
  • Python

SmartRAG-Assistant/GenAI-Assistant leverages advanced LLM models and Nvidia APIs for efficient query handling and document summarization. It integrates LlamaParse for structured data extraction, HuggingFace embeddings for vectorization, and PineconeDB for efficient retrieval, ensuring precise answers to user queries.

  • Updated Jan 27, 2025
  • Python

Improve this page

Add a description, image, and links to the pinecone-db topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pinecone-db topic, visit your repo's landing page and select "manage topics."

Learn more