Vector search and RAG feature#2233
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| @@ -73,12 +75,19 @@ func (app *CortezaDiscoveryApp) InitServices(ctx context.Context) (err error) { | |||
| return fmt.Errorf("could not set token verifier") | |||
| } | |||
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| //initialize Elastic search client | |||
| esClient, err := es.Connect(app.Opt.ES) | |||
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Do we need to make this optional or is this ES parameter now required?
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This PR introduces vector search and RAG (Retrieval-Augmented Generation) capabilities to Corteza discovery.
Feature overview
For these features to work, the following environment variables must be configured.
Embeddings generation
EMBEDDINGS_API_URLandEMBEDDINGS_API_KEYconfigs for the embeddings API server which is required for converting text into vector embeddings for semantic searchRAG
LLM_BASE_URL,LLM_MODEL(the default model is mistral-medium-latest) andLLM_API_KEYfor the LLM access which is required for the AI assistant to generate natural language responses