Introduction to OP Vault
OP Vault is an innovative platform that integrates the capabilities of OpenAI and Pinecone Vector Database to provide users with a powerful tool for managing and querying their own knowledge bases. This project enables users to upload a wide range of documents and easily extract useful information by posing questions related to the content of these documents.
Key Features of OP Vault
Seamless Document Upload and Search
OP Vault offers a straightforward user interface, developed using React, that allows users to upload various popular document formats. Once uploaded, these documents form a custom knowledge base that users can query using natural language questions. The queries return clear and concise responses, pointing to the specific document and section from which the information was sourced.
Leverage the OP Stack
Central to OP Vault's functionality is the utilization of the OP Stack, which combines the language understanding capabilities of OpenAI with the highly efficient indexing of Pinecone's Vector Database. This combination allows for accurate information retrieval and the handling of extensive document libraries, making it an invaluable tool for individuals and organizations looking to harness and explore their stored information efficiently.
Insightful Annotations
For every response to a user query, OP Vault provides insightful annotations by displaying the filename and context snippets that were relevant in forming the answer. This feature ensures that users can trust the responses, offering them clear references to the source material.
Setup and Dependencies
To run OP Vault, users must install specific manual dependencies, including Node.js (version 19) and Go (version 1.18.9), along with Poppler for document processing. The setup also requires configuration of API keys and endpoints for OpenAI and Pinecone, which are crucial for the operation of the application.
After setting up the local development environment and dependencies, users can start the Golang server and React frontend to begin uploading files and querying the knowledge base.
Under the Hood
OP Vault operates through a Golang server, which manages file uploads and question-answering processes. The server's API endpoints handle file uploads, questions, and interactions with the Pinecone database. Here’s a glimpse into OP Vault’s functionality:
File Upload and Processing
The server allows users to upload up to 300 MB of documents, accepting file types such as PDF, EPUB, DOCX, and plain text files. It processes these documents by extracting text, dividing it into chunks, and obtaining embeddings using OpenAI's API. These embeddings, along with their metadata, are stored in Pinecone's Vector Database.
Question Answering Mechanism
When a user poses a question, the server converts it into a query vector using OpenAI embeddings. This vector is then used to search the Pinecone database, retrieving the most relevant content. The server then constructs a response, providing users with accurate answers along with details about the document source and context.
Conclusion
OP Vault represents a cutting-edge solution for managing and querying large sets of documents. By leveraging the advanced capabilities of both OpenAI and Pinecone, users can efficiently extract valuable insights from their knowledge bases, all through an intuitive and user-friendly interface. This project empowers users to explore the depths of their stored information, making knowledge extraction both practical and easy.