Join me in this tutorial as we delve into the creation of an advanced Multiple Document Chatbot leveraging the capabilities of open-source technologies. Discover the utilization of Sentence Transformers for embeddings, employ Faiss CPU for vector storage, and seamlessly integrate Llama 2, Replicate API as a platform hosting open-source model and a robust language model, using the Streamlit library to establish a dynamic conversational interface. Embark on this step-by-step journey with us to craft a smart and effective Multiple Documents Chatbot, harnessing readily available resources. Whether you're new to the field or an experienced enthusiast, explore the realm of conversational AI and drive healthcare innovation right away.
#ai #langchain #streamlit #largelanguagemodels #generativeai #llama2 #llm #streamlit #llama2
Replicate llama2 model:https://replicate.com/replicate/llama...
Replicate API :https://replicate.com/account/api-tokens
Replicate links:https://replicate.com/
Github Code to
Project:https:https://github.com/InsightEdge01/Mult...
llama2 (Quantized model):https://huggingface.co/TheBloke/Llama...
Faiss GitHub: https://python.langchain.com/docs/int...
Streamlit:https://streamlit.io/
https://docs.langchain.com/docs/
Sentence Transformers Hugging Face: https://huggingface.co/sentence-trans...
CTransformers GitHub: https://github.com/marella/ctransformers
Buy me Coffee:https://www.buymeacoffee.com/DataInsi...
Build healthcare Chatbot: • Build Streamlit HealthCare Chatbot wi...