OpenAI Agent Multiple Vectorstores

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This workflow shows how to provide an OpenAI Functions Agent with multiple vector stores as tools.
When the agent is prompted, it can decide based on the input if it needs to retrieve information from the vector stores to respond to the prompt.

For now, the FAISS Vector Store Reader Node only supports local paths. Copy the YoutubeTranscripts and NodeDescriptions folders to a local path and point the FAISS Vector Store Reader to the folders to run the workflow.
Note that this agent requires the tool name to not contain white spaces.

In order to run the workflow you need an OpenAI API key. If you don't have one already, register with OpenAI and create a new API key under https://platform.openai.com/account/api-keys.

URL: OpenAI API Keys https://platform.openai.com/account/api-keys
URL: OpenAI Functions Agent LangChain Documentation https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent
URL: Faiss LangChain Documentation https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss
URL: Vector Stores LangChain Documentation https://python.langchain.com/docs/modules/data_connection/vectorstores/

Nodes

• Agent Executor16 ×
• Table Creator4 ×
• Model Reader2 ×
• Model Writer2 ×
• Component Input1 ×
• Component Output1 ×
• Credentials Configuration1 ×
• Refresh Button Widget1 ×
• String Widget1 ×
• Table Reader1 ×
• Table View (JavaScript)1 ×
• Table Writer1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME JavaScript Views
• FeatureKNIME Quick Forms

Links

• No links available