ccurme
2025-03-04 19:05:56 +00:00
committed by GitHub
parent ffc916e38c
commit c7211e03e9
@@ -17,7 +17,7 @@ This guide explains how to add semantic search to your LangGraph deployment's cr
...
"store": {
"index": {
"embed": "openai:text-embeddings-3-small",
"embed": "openai:text-embedding-3-small",
"dims": 1536,
"fields": ["$"]
}
@@ -27,7 +27,7 @@ This guide explains how to add semantic search to your LangGraph deployment's cr
This configuration:
- Uses OpenAI's text-embeddings-3-small model for generating embeddings
- Uses OpenAI's text-embedding-3-small model for generating embeddings
- Sets the embedding dimension to 1536 (matching the model's output)
- Indexes all fields in your stored data (`["$"]` means index everything, or specify specific fields like `["text", "metadata.title"]`)