- Implemented Upstash Vector as a cloud-based storage solution for document chunks, replacing the local LanceDB option.
- Added auto-detection of storage mode based on environment variables for seamless integration.
- Updated the chat API to utilize the new retrieval mechanism, enhancing response accuracy and performance.
- Enhanced README with setup instructions for Upstash and updated environment variable requirements.
- Introduced new scripts and configurations for managing the vector index and API interactions.
- Added rate limiting functionality to the chat API, allowing a maximum number of requests per IP within a specified time window.
- Implemented error handling for rate limit exceeded responses, including appropriate headers and retry instructions.
- Enhanced error handling for other API errors, providing user-friendly messages for various failure scenarios.
- Updated README to include new environment variables for rate limiting configuration.
- Added vector index building and serving capabilities to the docs chat.
- Introduced new scripts for generating embeddings and serving the chat API using vector search.
- Updated package.json with new commands for vector index operations.
- Enhanced README with instructions for the new RAG pipeline and legacy keyword pipeline.
- Removed outdated Vercel configuration file.
- Introduced a minimal documentation chatbot that builds a search index from markdown files and serves responses via an API.
- Added scripts for building the index and serving the chat API.
- Updated package.json with new commands for chat index building and serving.
- Created a new Vercel configuration file for deployment.
- Added a README for the docs chat prototype detailing usage and integration.
