Give ChatGPT long-term memory by uploading custom knowledge base files (PDF, txt, epub) and asking questions via a React frontend.
OP Vault is an open-source tool that extends ChatGPT with long-term memory by allowing users to upload custom knowledge base files like PDFs, txt, and epub documents. It uses the OP Stack (OpenAI + Pinecone Vector Database) to process, store, and retrieve information from these documents, enabling precise question-answering based on the uploaded content. The project solves the problem of AI models lacking access to private or specific knowledge sources.
Developers, researchers, and organizations looking to build custom AI-powered knowledge bases or enhance ChatGPT with domain-specific information from documents.
It provides a self-hostable, user-friendly interface for uploading and querying documents, with accurate answers and source citations, making it a practical alternative to manual document search or proprietary knowledge management tools.
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
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Supports PDF, txt, epub, .docx, and other formats via the React frontend, allowing diverse knowledge base creation from common file types.
Provides answers with citations to specific filenames and context snippets, as shown in the screenshots, ensuring traceability to original content.
Leverages Pinecone for efficient storage and retrieval of embeddings, enabling handling of entire libraries of documents, as highlighted in the README.
Offers a Golang backend and React frontend for full control over deployment, making it suitable for custom or private installations.
Requires manual installation of specific versions like node v19, go, and poppler, with no containerization or one-click setup, increasing initial effort.
Depends on OpenAI and Pinecone APIs, incurring ongoing costs and subject to free-tier restrictions, such as Pinecone's namespace limits mentioned in the README.
Lacks built-in user authentication, access controls, or advanced querying options, focusing only on basic upload and Q&A without extensibility hooks.