AI Memory Database & RAG System Developer

Seeking an experienced developer to build a private AI memory and knowledge retrieval system. The system will ingest conversations and documents, organize information, and provide insights. The ideal candidate will have experience in AI and knowledge retrieval systems, with a strong understanding of data structures and algorithms. The project requires a developer who can work independently and deliver high-quality results. I am not looking for a chatbot. I am building a persistent continuity and knowledge layer that compounds information over time. Project Overview I am looking for an experienced developer to build the first phase of a private AI memory and knowledge system. The objective is to create a system that can ingest conversations and documents, organize them into structured knowledge, and retrieve relevant information later through semantic search and Retrieval-Augmented Generation (RAG). Core Requirements Data Ingestion * PDFs * Text files * Markdown files * Exported conversations * Other document formats if practical * Recommendations for automating ingestion are welcome Knowledge Storage * Full source text * Dates and timestamps * Categories and tags * Summaries * Key decisions * Action items * Important ideas and frameworks * References back to original source documents Retrieval-Augmented Generation (RAG) The system should: * Search by keyword * Search semantically * Retrieve relevant information and source material * Return context that can be supplied to an AI model Example: "What did we discuss about Topic X three weeks ago?" The system should retrieve the relevant discussions, summaries, notes, and source materials. User Interface Simple and functional is preferred: * Search knowledge base * Browse categories * View source material * View summaries * Upload or import new files * Edit tags and categories Architecture Preference I prefer a hybrid architecture: * Local database on my desktop * Cloud backup and synchronization capability * Ability to securely access the system remotely while traveling Preferred Skills Experience with any of the following is valuable: * Python * PostgreSQL * SQLite * Vector databases * Embeddings * Retrieval-Augmented Generation (RAG) * Semantic search * OpenAI API integration * Desktop or web application development Ideal Candidate I am looking for someone who: * Has built RAG systems or AI knowledge bases * Understands semantic search and embeddings * Can recommend practical architecture decisions * Writes clean, maintainable code * Thinks long-term and designs systems that can scale over time I am looking for someone who can not only build this system but also recommend architecture decisions and think strategically about long-term scalability. Please Include in Your Proposal 1. Examples of RAG or AI memory systems you have built 2. Your recommended architecture for this project 3. Estimated timeline 4. Estimated budget 5. Suggestions for automating data ingestion