GenerativeAI and Generative-AI-with-Lancgchain-and-Huggingface

These are ecosystem siblings within the generative AI learning space, where the LangChain-and-Huggingface project provides specialized frameworks (LangChain, ChromaDB, RAG) for implementing the practical generative AI concepts that the broader GenAI Experimentation repository covers.

Maintenance 10/25
Adoption 8/25
Maturity 8/25
Community 20/25
Maintenance 2/25
Adoption 3/25
Maturity 16/25
Community 15/25
Stars: 60
Forks: 25
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 3
Forks: 5
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No License No Package No Dependents
Stale 6m No Package No Dependents

About GenerativeAI

jayita13/GenerativeAI

GenAI Experimentation

This project offers a collection of experiments and examples related to Generative AI. It takes various data inputs, which could range from documents for RAG systems to prompts for LLMs, and helps explore different Generative AI outputs and behaviors. The primary user for this resource is a developer or AI practitioner who wants to understand and build with Generative AI technologies.

Generative-AI LLM-development RAG-systems AI-agents AI-experimentation

About Generative-AI-with-Lancgchain-and-Huggingface

MDalamin5/Generative-AI-with-Lancgchain-and-Huggingface

Generative-AI-with-Langchain-and-Huggingface explores cutting-edge generative AI concepts. Topics include LangChain basics, ChromaDB, conversational memory, vector databases, document Q&A with RAG, text summarization (refine chains, YT/video summarization), building LLMs, search engines, and advanced tools/agents.

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