Description:
Discover the power of LangChain Expression Language (LCEL) in this demonstration of a cutting-edge QA system. Explore its versatile features, including:
✅ Simple Question Answering
✅ Conversational Mode for contextual responses
✅ Retrieval-Augmented QA for precise answers
✅ Conversational Retrieval combining history with relevant documents
LCEL offers robust support for:
1. Rapid chain development.
2. Advanced capabilities like streaming, async processing, parallel execution, and more.
3. Seamless integration with LangSmith and LangServe.
Watch as this app integrates advanced functionalities like Google Gemini LLM, Qdrant vector stores, and streaming output. Perfect for AI enthusiasts, developers, and researchers!
👉 Tools Used: LangChain, Qdrant, Hugging Face, Google Gemini, and Streamlit.
#ai#artificialintelligence#langchain#nlp#anthropic#QAApp#LCEL #GoogleGemini#Streamlit#Chatbot#RetrievalQA#ConversationalAI #AIModels#ragnarokonline
LinkedIn
linkedin.com/in/anjumzahid789
Code File Link:
https://github.com/AnjumZahid/RAG_App...
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