Asset Name | Asset Type | Description |
|---|---|---|
VectorMatchEntry | Process Object | Provides all the information from the Pinecone vector matching. |
GeminiAIAgentConsumptionConnection | App Connection | Gemini connection. |
PineconeAIAgentConnection | App Connection | Pinecone connection. |
SlackAIAgentConnection | App Connection | Slack connection. |
Generate Embeddings Model | Process | Subprocess that parses the user input into a vector view and matches it with the embedded model. It returns the matching context score and metadata. |
Get Embeddings | Process | Subprocess that generates embedding vectors from the user input using Gemini. |
Query LLM with Context using Embeddings Model | Process | Subprocess that submits a query that is received from the user, converts it into a vector, and uses it to search for similar vectors in a database. The top K matches are retrieved, filtered by a cutoff score, and used to form a context. This context including the original query is passed to a Large Language Model (LLM) to generate and return a comprehensive response. |
Query LLM with Context using Gemini | Process | Subprocess that prepares and sends a request to the Gemini LLM with the context. |
Query Pinecone | Process | Subprocess that searches for coincidences from input vectors to vectors in the base Pinecone index specified as input parameter Index_Host_Pinecone and returns a result with metadata. |
Slack AI Agent | Process | Process that receives a query from Slack, searches for relevant context in a vector database, sends both the query and the context to an LLM, and returns the generated response to the Slack channel. |