| # LangGraph installation |
| LangGraph |
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| Ipython |
| grandalf |
| graphviz |
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| LangChain |
| LangChain_community |
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| # LangChain Core |
| langchain |
| langchain-core |
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| # OpenAI Integration |
| langchain-openai |
| openai |
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| # Anthropic Integration |
| langchain-anthropic |
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| # Google Gemini (PaLM) Integration |
| langchain-google-genai |
| google-generativeai |
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| # Hugging Face Integration |
| langchain-huggingface |
| transformers |
| huggingface-hub |
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| # Environment Variable Management |
| python-dotenv |
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| # Machine Learning Utilities |
| numpy |
| scikit-learn |
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| # Web App UI Frameworks |
| streamlit |
| gradio |
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| # Langchain Community |
| langchain-community |
| langchain_groq |
| langchain_experimental |
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| #FASSIA |
| faiss-cpu |
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|
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| # langchain with deepseek |
| langchain-deepseek |
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|
| # DuckDuck-Go |
| duckduckgo-search |
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| #pip install --upgrade langchain langchain-community |
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| #pip install -r requirements.txt |
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| # pip install -r requirements.txt |
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| # model_1 = ChatGoogleGenerativeAI( |
| # model="models/gemini-1.5-flash-latest", |
| # temperature=0.5 |
| # ) |
| # model_2 = ChatHuggingFace.client( |
| # model="microsoft/Phi-3-mini-4k-instruct", |
| # task = 'text-generation' |
| # ) |
|
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| # model_2 = ChatGroq( |
| # model="llama-3.1-8b-instant", |
| # temperature=0.6, |
| # max_tokens=64, |
| # # api_key=groq_api_key |
| # ) |
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