AI & Machine Learning
Connect Pinecone to Your AI Agents
Enable your Wkil agents to search and update vector knowledge through a secure Pinecone integration.
Authentication: API key
What you can do
- Search vector-embedded knowledge
Available capabilities may vary by authentication and workspace configuration.
Actions supported by the connector
Query Vectors
Search a vector index for the most similar records.
Upsert Records to Namespace
Add or update vector records in an index.
Create Index
Set up a new vector index for storing embeddings.
Practical agent use cases
- An agent retrieves the most relevant knowledge-base chunk before answering.
How it works with Wkil
- 1Choose the integrationAdd Pinecone to your agent from inside the Wkil platform.
- 2Grant the permissions it needsDefine precisely what the agent can access and perform.
- 3Test, then run itTest actions before they go live, with human approval where needed.
Permissions always stay in your control — you can scope access and require human approval before any sensitive action.
