diff --git a/README.md b/README.md index 63d8963c..7c3b551c 100644 --- a/README.md +++ b/README.md @@ -194,40 +194,6 @@ TrustGraph provides maximum flexibility so your agents are always powered by the -### Pulsar Control Plane - -- For flows, Pulsar accepts the output of a processing module and queues it for input to the next subscribed module. -- For services such as LLMs and embeddings, Pulsar provides a client/server model. A Pulsar queue is used as the input to the service. When processed, the output is then delivered to a separate queue where a client subscriber can request that output. - -PDF file: -``` -tg-load-pdf -``` - -Text or Markdown file: -``` -tg-load-text -``` - -### GraphRAG Queries - -Once the knowledge graph and embeddings have been built or a cognitive core has been loaded, RAG queries are launched with a single line: - -``` -tg-invoke-graph-rag -q "What are the top 3 takeaways from the document?" -``` - -### Agent Flow - -Invoking the Agent Flow will use a ReAct style approach the combines Graph RAG and text completion requests to think through a problem solution. - -``` -tg-invoke-agent -v -q "Write a blog post on the top 3 takeaways from the document." -``` - -> [!TIP] -> Adding `-v` to the agent request will return all of the agent manager's thoughts and observations that led to the final response. - ## Observability & Telemetry Once the platform is running, access the Grafana dashboard at: