Building a Personal Notes Assistant with RAG, Amazon Bedrock, and Pinecone

说明与用途

使用RAG、Amazon Bedrock和Pinecone构建的个人笔记助手，实现了对上传的.txt文件进行快速、私密的信息检索。

问题

Users struggle to locate specific information within hundreds of personal notes, wasting time searching manually.

结果

The system provides a private, accurate, and efficient way to query personal notes using RAG, eliminating manual search and ensuring answers are grounded in the user's own documents.

工作流

• Upload .txt file to /ingest endpoint
• Validate file type, size, encoding, and content
• Store original file in private S3 bucket with unique UUID key
• Chunk text into overlapping snippets
• Generate 512-dim embeddings with Amazon Titan
• Index embeddings and metadata in Pinecone
• Receive question at /ask endpoint
• Embed question with Amazon Titan
• Retrieve top 3 matching snippets from Pinecone
• Assemble prompt with question and snippets
• Generate answer with Amazon Nova Lite
• Return answer as JSON

证据

Project Goal: Upload plain text (.txt) notes and receive accurate answers strictly grounded in their content.

来源

Amazon Nova Lite generating the response.

来源