### Install Dependencies Source: https://github.com/promtengineer/langextract-rag/blob/main/README.md Installs all necessary Python packages listed in the requirements.txt file. This command ensures that all project dependencies are met. ```bash pip install -r requirements.txt ``` -------------------------------- ### Install TQDM for Progress Bars Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'tqdm' library, a utility for displaying progress bars during long-running operations. ```bash pip install tqdm ``` -------------------------------- ### Install Tabulate for Table Formatting Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'tabulate' library, a utility for formatting data into nicely looking tables in the terminal. ```bash pip install tabulate ``` -------------------------------- ### Install Textwrap3 for Text Formatting Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'textwrap3' library, used for formatting text, such as wrapping long lines. ```bash pip install textwrap3 ``` -------------------------------- ### Install Ollama for Local Model Support Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'ollama' library, an optional dependency for running and interacting with local Large Language Models. ```bash pip install ollama ``` -------------------------------- ### Install LangChain for RAG Orchestration Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the core LangChain framework for RAG orchestration, along with integrations for OpenAI and community modules. ```bash pip install langchain langchain-openai langchain-community ``` -------------------------------- ### Install LLM API Integrations (OpenAI, Google GenAI) Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs libraries for interacting with Large Language Model APIs, specifically OpenAI and Google Generative AI. ```bash pip install openai google-genai ``` -------------------------------- ### Install ChromaDB for Vector Database Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs ChromaDB, a popular vector database used for storing and retrieving embeddings in RAG systems. ```bash pip install chromadb ``` -------------------------------- ### Install Pytest and Pytest-Asyncio for Testing Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs Pytest and Pytest-Asyncio for development and testing, enabling the creation and execution of unit and integration tests, including asynchronous tests. ```bash pip install pytest pytest-asyncio ``` -------------------------------- ### Install BeautifulSoup4 for HTML Processing Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'beautifulsoup4' library, an optional dependency for parsing and extracting data from HTML content. ```bash pip install beautifulsoup4 ``` -------------------------------- ### Install LangExtract for Language Extraction Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'langextract' library, which is Google's extraction library used for identifying and extracting languages from text. ```bash pip install langextract ``` -------------------------------- ### Install Python-dotenv for Environment Configuration Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'python-dotenv' library, which is used to load environment variables from a .env file for configuration management. ```bash pip install python-dotenv ``` -------------------------------- ### Install Colorama for Colored Terminal Output Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'colorama' library, a utility for adding colored output to the terminal, improving readability of logs and messages. ```bash pip install colorama ``` -------------------------------- ### Install PyPDF for PDF Document Processing Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs the 'pypdf' library, an optional dependency for processing PDF documents within the RAG system. ```bash pip install pypdf ``` -------------------------------- ### Install Pydantic and NumPy for Data Processing Source: https://github.com/promtengineer/langextract-rag/blob/main/requirements.txt Installs Pydantic for data validation and parsing, and NumPy for numerical operations, essential for data processing in the RAG system. ```bash pip install pydantic numpy ``` -------------------------------- ### Clone Repository Source: https://github.com/promtengineer/langextract-rag/blob/main/README.md Clones the langextract_rag repository from GitHub and navigates into the project directory. This is the initial step for setting up the project locally. ```bash git clone https://github.com/PromtEngineer/langextract_rag.git cd langextract_rag ``` -------------------------------- ### Run Demo Source: https://github.com/promtengineer/langextract-rag/blob/main/README.md Executes the main Python script for the project, demonstrating the working LangExtract-enhanced RAG system with real data. ```python python langextract_rag.py ``` -------------------------------- ### Set Environment Variables Source: https://github.com/promtengineer/langextract-rag/blob/main/README.md Creates a .env file to store sensitive API keys required for the project, such as Google API key for LangExtract/Gemini and an optional OpenAI API key for embeddings. ```env GOOGLE_API_KEY="your-google-api-key" OPENAI_API_KEY="your-openai-api-key" # Optional ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.