Simple chat app integrating LangChain + RAG + SelfQuery to demonstrate an error when parsing user prompt
cp .env.example .env
Edit .env and add your OpenAI API key
docker compose up or pnpm run dev
App will start at localhost:3000
- Run the app
- Upload any txt file using the clip icon 2.1 The file will be embedded and a vectorstore folder will be created for RAG
- Ask any of the following questions:
- How do CAN and LIN signals join in automotive networks as of ISO 11898 version 2.0?
- Where do Zigbee and Wi-Fi signals coexist in IoT devices as of IEEE 802.15.4?
- How do OPC and MQTT protocols select data in IIoT as defined by IEC 62541 version 1.4?
- Where do USB and Ethernet standards join in smart homes as per IEEE 802.3 version 1.0?
You should see the following error in the console:
Failed to import peggy. Please install peggy (i.e. "npm install peggy" or "yarn add peggy"). thrown by /node_modules/langchain/dist/output_parsers/expression_type_handlers/base.js
The criteria seems to be sending SQL words (as, where, select, from, join) along as a word matching the AttributeInfo (in this case, version) in some specific length. Anything different from that would work.