diff --git a/modules/genai-ecosystem/pages/llm-graph-builder.adoc b/modules/genai-ecosystem/pages/llm-graph-builder.adoc index 99c8a69..705f04c 100644 --- a/modules/genai-ecosystem/pages/llm-graph-builder.adoc +++ b/modules/genai-ecosystem/pages/llm-graph-builder.adoc @@ -66,14 +66,19 @@ You can also run it locally, by cloning the https://github.com/neo4j-labs/llm-gr It is using Docker for packaging frontend and backend, and you can run `docker-compose up` to start the whole application. -//// == Videos & Tutorials -Installation: +image::https://cdn.graphacademy.neo4j.com/assets/img/courses/banners/llm-knowledge-graph-construction.png[width=800,link="https://graphacademy.neo4j.com/courses/llm-knowledge-graph-construction/"] + + +//// ++++ ++++ +//// + +//// == Highlighted Articles diff --git a/modules/genai-ecosystem/pages/vector-search.adoc b/modules/genai-ecosystem/pages/vector-search.adoc index 7bb3d14..c338a30 100644 --- a/modules/genai-ecosystem/pages/vector-search.adoc +++ b/modules/genai-ecosystem/pages/vector-search.adoc @@ -20,6 +20,8 @@ The index is designed to work with embeddings, such as those generated by machin * Procedures to compute text vector embeddings with OpenAI, AWS Bedrock, Google Vertex AI, and other ML platforms * Vector similarity functions to compute cosine angle and euclidean distance between vectors +image::https://cdn.graphacademy.neo4j.com/assets/img/courses/banners/llm-vectors-unstructured.png[width=800,link="https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/"] + == Usage [source,cypher]