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.
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.
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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