Private Chat with your Documents with Ollama and PrivateGPT | Use Case | Easy Set up
TLDRIn this informative video, the host demonstrates how to utilize Olama and private GPT technology to interact with documents, specifically a PDF book about success. The tutorial covers the installation of AMA, setting up a virtual environment, and integrating private GPT for document interaction. The host also shares a GitHub repository for easy access to the code and encourages viewers to engage with the content by subscribing and commenting.
Takeaways
- 📚 The video demonstrates the use of Olama and private GPT (Generative Bidirectional Transformer) to interact with documents, specifically a PDF book about success and mindset titled 'Think and Grow Rich'.
- 🤖 The presenter uses a large language model powered by Olama to facilitate communication with the book through private GPT.
- 💻 The video addresses questions from the audience about uploading and querying different file formats like CSV, and the limitations of such interactions.
- 🔧 The process begins with installing AMA, which is done through a download from a provided link, and is currently available for Mac OS and Linux, but not for Windows.
- 🖥️ After AMA installation, users can start the system, which will run in the background and can be reactivated from the menu bar.
- 📂 The presenter guides the audience to clone a specific GitHub repository (prompt engineer 48) to access the necessary code and steps for the integration.
- 🔄 The AMA private GPT setup involves creating a virtual environment, installing required packages, pulling models, and ingesting documents into the system.
- 📄 The document ingestion process involves creating a 'source_documents' directory and copying the document into it, followed by running a script to ingest the file into the system.
- 🔍 Once the document is ingested, users can ask questions to the document using the private GPT interface, and the system will provide answers based on the document's content.
- 📈 The video showcases the speed and efficiency of the system in processing the document and providing insights from it, such as reasons for failure in executing strategies mentioned in 'Think and Grow Rich'.
- 🎓 The presenter emphasizes the potential of this technology for educational purposes and invites viewers to engage with the content by subscribing, sharing, and commenting on the video.
Q & A
What technology is being used to interact with the book 'Think and Grow Rich'?
-Private GBD (Generative Broad Domain) technology is being used to interact with the book 'Think and Grow Rich'.
How does one get started with setting up a local language model using AMA?
-To set up a local language model using AMA, one needs to download and install AMA, then run the command 'olama run' followed by the model name, such as 'mistl', to start the chatting system.
What is the significance of the 'prompt engineer 48 GitHub' repository mentioned in the script?
-The 'prompt engineer 48 GitHub' repository is where the user has shared different folders and codes related to the video content. It contains the integration of Lang chain and the setup for chatting with documents using AMA and private GBD.
What are the steps to clone the GitHub repository for the project?
-To clone the repository, one needs to visit the GitHub page, click on the green button to copy the link, open the terminal, navigate to the desired directory, and use the command 'git clone' followed by the copied link.
How is a virtual environment set up for the project?
-A virtual environment is set up using the 'conda create' command, specifying the environment name (e.g., 'private') and the Python version (e.g., 3.11). The environment is then activated using 'conda activate' followed by the environment name.
What are the requirements for installing the necessary packages for the project?
-The necessary packages can be installed by reading the 'requirements.txt' file and using the command 'pip install' followed by '-r' and the path to the 'requirements.txt' file.
How are the documents uploaded and prepared for interaction with the private GBD?
-Documents are uploaded by creating a directory named 'source_documents' and copying the files into it. The files are then ingested using the 'ingest do.py' script, which processes the documents and creates embeddings for interaction.
What type of documents can be interacted with using this setup?
-Various types of documents such as CSV, DOC, DOCX, EPUB, HTML, and PDF files can be interacted with using this setup.
How is the private GBD started for asking questions to the documents?
-The private GBD is started by navigating to the AMA directory, then to the private GBD directory, and running the command 'python 3 private gbd.py' on a Mac or 'python private gbd.py' on Windows.
What is an example question that can be asked to the 'Think and Grow Rich' book using this setup?
-An example question could be 'Why do most people fail in executing the strategies mentioned in the book Think and Grow Rich?'
What are the five key learnings the script suggests one can derive from reading 'Think and Grow Rich'?
-The five key learnings include seeking knowledge earnestly, underlining sentences that impress you, not limiting oneself to being a student, understanding that failure is possible if one follows instructions blindly, and that the forging instruction can lead to complete understanding and mastery of the principle of success.
Outlines
🤖 Introduction to Private GBT and OLAMA
The paragraph introduces the concept of using OLAMA and private GBT technology to interact with documents, specifically a PDF book about success and mindset called 'Think and Grow Rich'. The speaker explains the motivation behind this project, which stems from previous video comments asking about the feasibility of uploading and querying CSV files and chatting with documents through an interface. The speaker then outlines the plan to set up a local large language model using AMA and power it with private GBT from OLAMA, allowing interaction with various files.
🛠️ Setting Up AMA and OLAMA
This paragraph details the process of setting up AMA on MacOS and Linux, including downloading, installation, and testing. The speaker provides instructions on how to download AMA, install it, and verify its running status. The paragraph also explains how to test AMA by opening a terminal and running commands to interact with the Mist model. Additionally, the speaker guides the audience on how to find and clone the GitHub repository containing the necessary code for the project, emphasizing the importance of following the steps outlined in the README file.
📚 Ingesting and Querying Documents
The speaker continues by explaining the steps to clone the repository and set up a virtual environment named 'private' with Python 3.11. The paragraph walks through the installation of required packages from a 'requirements.txt' file and the process of pulling models from AMA, using 'AMA pull mistal' as an example. The speaker then instructs on creating a 'Source documents' directory and placing the 'Think and Grow Rich' book inside it. Following this, the speaker demonstrates how to ingest the documents using a Python script and how to run a private GBD instance to ask questions of the uploaded document. The example query involves asking why most people fail to execute strategies from the book, and the speaker shows the results, highlighting the speed and efficiency of the process.
🎥 Wrapping Up and Future Plans
In the final paragraph, the speaker summarizes the entire process of integrating private GBT with OLAMA, from setting up the environment to ingesting and querying documents. The speaker reiterates the steps and invites viewers to post questions for future videos. The speaker also mentions an ongoing project involving the integration of mgpd autogen and AMA APIs or server calling. The video concludes with a call to action for viewers to subscribe to the channel, share the video, and leave comments, and the speaker signs off with a prompt for viewers to join them for future content.
Mindmap
Keywords
💡Olama
💡Private GBD
💡Think and Grow Rich
💡AMA
💡CSV file
💡Virtual Environment
💡Source Documents
💡Ingest
💡GitHub
💡Repository (Repo)
💡LangChain
Highlights
The video demonstrates the use of Olama and private GPT to interact with documents, specifically a PDF book about success and mindset.
The book used is 'Think and Grow Rich', a lengthy book of over 200 pages focusing on success principles.
The presenter's previous video received comments requesting the ability to ask questions to uploaded files, such as CSV, and chat with documents through an interface.
The system being set up locally uses AMA to run a large language model and power the private GPT.
AMA is installed and run on MacOS, with the presence of an icon indicating its operation.
The presenter showcases testing AMA by running the 'olama run' command and interacting with the Mist model for a demonstration.
The GitHub profile 'prompt engineer 48' is mentioned, where different folders related to the video content are available.
The ' AMA private GPD chat with docs' folder contains the code and instructions for the video's process.
The steps for setting up the environment, installing requirements, and pulling models are detailed in the README file.
A virtual environment named 'private' is created using conda, with Python version 3.11.
The process of ingesting the 'Think and Grow Rich' book into the system by running an ingestion script is shown.
The video shows the successful execution of the private GPT with the document, providing insights from the book in response to queries.
The presenter emphasizes the ability to ask questions to various file types such as CSV, DOC, MAL, ePub, HTML, and PDFs.
The video concludes with a summary of the process and an invitation for viewers to suggest topics for future videos.
The presenter is also working on integrating mgpd autogen with AMA APIs or server calling.
The video is a response to viewer comments and aims to provide a seamless experience for interacting with documents using private GPT.