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Apps
Embed a full text search of a connected vector database within a Lamatic flow.
Embed a hybrid search (combining vector and text search) of a connected vector database within a Lamatic flow.
Reply to questions posed by users in a Slack channel with the /ask command; or post messages to a Slack channel
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Monitors specific file types for changes in your repository and sends the modified file content to a webhook endpoint
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Insert, update and retrieve records from this high-performance vector store.
Apply an embedding model to convert data chunks into numeric vector representations.
Trigger a custom Lamatic flow from another program and deliver a JSON payload to the webhook endpoint.
Drop this widget into your app to give users the ability to get answers via an interactive chat.
Trigger a custom Lamatic flow from another program and return a JSON payload with this self-documenting API node.
Drop this widget into your app to give users the ability to query via text, vector or hybrid search.
