notefuse ✨

An AI-powered chatbot that assists with summarizing notes and study materials.

Technologies

Next.js: frontend and API routes
Supabase: relational database for storing chats and messages
Redis: in-memory key-value database for caching chat messages to optimize load speeds
AWS S3: file storage for PDFs
Pinecone: vector database for storing embeddings
OpenAI GPT-4o: generating intelligent responses from input and context
Langchain: creating vector embedding for RAG

engineering a good prompt for LLM with the relevant context
fine-tuning chunk sizes and embedding parameters for the best balance between context precision and token usage
setting up S3 on the AWS management console

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
src		src
.env.local.sample		.env.local.sample
.gitignore		.gitignore
README.md		README.md
components.json		components.json
drizzle.config.ts		drizzle.config.ts
eslint.config.mjs		eslint.config.mjs
next.config.ts		next.config.ts
package-lock.json		package-lock.json
package.json		package.json
postcss.config.mjs		postcss.config.mjs
tailwind.config.ts		tailwind.config.ts
tsconfig.json		tsconfig.json