IbrahimSobh/AskYouTube
In this tutorial we will see 💡 How to get answers from a YouTube video using Chroma vector database, PaLM LLM by Google, and a question answering chain from LangChain. And finally, use Streamlit to develop and host the web application. You will need to use your google_api_key (you can get one from Google).
No commits in the last 6 months.
Stars
4
Forks
1
Language
Python
License
—
Category
Last pushed
Jul 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/IbrahimSobh/AskYouTube"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ju-bezdek/langchain-decorators
syntactic sugar 🍭 for langchain
curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with...
mzarnecki/course_llm_agent_apps_with_langchain_and_langgraph
AI apps development in LangChain & LangGraph - tutorial notebooks
JSONFIRST/jsonfirst-langchain
JSONFIRST integration package — jsonfirst.com
yyigitturan/LLM-QA-Generator
A full-stack RAG solution built with LangChain and Ollama/Llama3 for local processing. This tool...