No API key | Open Source LLM Local Setup with Llama | RAG using Python and vector FAISS | Free
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- เผยแพร่เมื่อ 18 ก.ย. 2024
- LinkedIn Profile: / soumen49
No API key | Open Source LLM Local Setup with Llama2 | RAG using Python and vector DB-FAISS | Free
No API subscription required in openAI or other platform. You can setup LLM in laptop without any cost. This video will show or teach viewers , how to create a chat bot that will chat with a PDF using RAG technique. The code is developed with Python, langchain , vector db and local llm. No cost required. This video is to share information on how to create a chatbot using llama2 LLM model that can talk to a locally stored PDF file. Everything in your local computer. That means subscription cost, no fine tuning and not to worried about data security.
Open Source LLM Chatbot-Local Setup with Llama2. Using Python and vector DB-FAISS create RAG.
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RAG with Python Langchain with local LLM.
RAG with Python Langchain with local LLM and open source llm with FAISS.
Chat with document with locally hosted LLM using Python Langchain and FAISS vector db.
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how to setup local LLM please share some resources?
llama-2-7b-chat.ggmlv3.q8_0.bin
Hi @priyanka9672 , you can download the model from huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/blob/main/llama-2-7b-chat.ggmlv3.q8_0.bin
@@TechKnow_WithMe I made change to :
embeddings = HuggingFaceBgeEmbeddings(model_name='TheBloke/Llama-2-7B-Chat-GGML', model_kwargs={'device': 'cpu'})
the code now is downloading the model, please help me understand, will it always download the model?
@priyanka9672.. for me it's not downloading but I would suggest to use LM studio software for local setup. I have uploaded one video for same RAG with LM studio. The code is almost 80% same. You can use at it is. Link th-cam.com/video/dFIhU5uvY6Q/w-d-xo.htmlsi=qc7iZgixBdrne69C
@@TechKnow_WithMe will it download the model each time I run the python code?
No it will download model with LM studio. Please refer the other video link in above comment.