Experience the Power of AI, Accelerated
MultiPDF is a revolutionary AI-powered app that lets you chat directly with your PDFs. Powered by the cutting-edge Groq AI accelerator and open-source language models, MultiPDF delivers lightning-fast responses and exceptional accuracy.
Instantaneous Insights: Get real-time answers to your PDF-related questions.
Contextual Understanding: Our AI grasps the context of your queries, providing relevant and precise information.
Efficient Search: Quickly find specific information within your documents.
Open-Source Power: Built on open-source technologies, ensuring transparency and community-driven innovation.
Groq Acceleration: Experience unparalleled speed and performance with Groq's advanced hardware.
Revolutionize Your PDF Workflow
Simplify your document interactions with MultiPDF. Say goodbye to time-consuming searches and hello to efficient, intelligent PDF exploration.
- Streamlit : A Python library for building web applications with interactive elements.
- LangChain-Groq : It is an integration that accelerates large language model (LLM) applications using Groq's AI hardware. It enables faster, more efficient, and cost-effective LLMs for real-time applications like chatbots, document analysis, and content generation.
- python-dotenv : A library for loading environment variables from a
.env
file. This is commonly used to store configuration settings, API keys, and other sensitive information outside of your code. - langchain : A custom library for natural language processing tasks, including conversational retrieval, text splitting, embeddings, vector stores, chat models, and memory.
- PyPDF2 : PyPDF2 is a library for reading and manipulating PDF files in Python. It can be used to merge, split, and modify PDFs. In the context of a multipdf chatbot, PyPDF2 could be used to handle the manipulation and generation of PDF files based on user input or responses.
- faiss-cpu : FAISS (Facebook AI Similarity Search) is a library developed by Facebook for efficient similarity search, Machine Learning Embeddings,Information Retrieval, content-based filtering and clustering of dense vectors.
- langchain_commuinty : provides third-party integrations to extend LangChain's capabilities, including vector stores, retrievers, LLM providers, and toolkits.