LangBot - Instant Messaging Bot Development Platform

• Official website: https://langbot.app
• Download: https://github.com/langbot-app/LangBot/releases
• Official documentation: https://docs.langbot.app
• Open-source repository: https://github.com/langbot-app/LangBot

Integrate with MoleAPI

LangBot fully supports usage with MoleAPI, and the setup process is very simple.

How to Use

1. Get the API Key and Base URL from MoleAPI

Please note that the API address (Base URL) must end with /v1.
For example, the correct value should be:

https://api.moleapi.com/v1

If /v1 is not included, the integration will not work properly.

2. Add a model in LangBot, select the NewAPI provider, and fill in the corresponding API Key and API address

3. Select the model to use in the pipeline

   

4. You can then use it either in conversation debugging or by chatting with a bot bound to the pipeline

   

   

   For bot deployment and configuration, refer to Deploy Bots.

Use the LangBot Knowledge Base

LangBot supports using MoleAPI embedding models as the vector model for its knowledge base.

1. Add an embedding model in LangBot and select the NewAPI provider

2. When creating a new knowledge base, select the embedding model you just added as the vector retrieval backend to build an intelligent knowledge base with semantic understanding.

3. After creation, you can use semantic retrieval and Q&A based on MoleAPI embeddings in the LangBot knowledge base.

4. You can further adjust vector model parameters in the knowledge base settings to meet more complex retrieval requirements.

For more usage methods, see the LangBot official documentation: https://docs.langbot.app