From 8722103550648f7d67fa2f6cab9712ec56e49b96 Mon Sep 17 00:00:00 2001
From: yangdx <gzdaniel@me.com>
Date: Sat, 15 Nov 2025 01:25:56 +0800
Subject: [PATCH] Update env.example
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• Comment out Ollama config
• Set OpenAI as active default
• Add EMBEDDING_TOKEN_LIMIT option
• Add Gemini embedding configuration
---
 env.example | 38 +++++++++++++++++++++++++-------------
 1 file changed, 25 insertions(+), 13 deletions(-)

diff --git a/env.example b/env.example
index a95ff9bf..60aaf0ed 100644
--- a/env.example
+++ b/env.example
@@ -255,21 +255,23 @@ OLLAMA_LLM_NUM_CTX=32768
 ### For OpenAI: Set to 'true' to enable dynamic dimension adjustment
 ### For OpenAI: Set to 'false' (default) to disable sending dimension parameter
 ### Note: Automatically ignored for backends that don't support dimension parameter (e.g., Ollama)
-# EMBEDDING_SEND_DIM=false
 
-EMBEDDING_BINDING=ollama
-EMBEDDING_MODEL=bge-m3:latest
-EMBEDDING_DIM=1024
-EMBEDDING_BINDING_API_KEY=your_api_key
-# If LightRAG deployed in Docker uses host.docker.internal instead of localhost
-EMBEDDING_BINDING_HOST=http://localhost:11434
-
-### OpenAI compatible (VoyageAI embedding openai compatible)
-# EMBEDDING_BINDING=openai
-# EMBEDDING_MODEL=text-embedding-3-large
-# EMBEDDING_DIM=3072
-# EMBEDDING_BINDING_HOST=https://api.openai.com/v1
+# Ollama embedding
+# EMBEDDING_BINDING=ollama
+# EMBEDDING_MODEL=bge-m3:latest
+# EMBEDDING_DIM=1024
 # EMBEDDING_BINDING_API_KEY=your_api_key
+### If LightRAG deployed in Docker uses host.docker.internal instead of localhost
+# EMBEDDING_BINDING_HOST=http://localhost:11434
+
+### OpenAI compatible embedding
+EMBEDDING_BINDING=openai
+EMBEDDING_MODEL=text-embedding-3-large
+EMBEDDING_DIM=3072
+EMBEDDING_SEND_DIM=false
+EMBEDDING_TOKEN_LIMIT=8192
+EMBEDDING_BINDING_HOST=https://api.openai.com/v1
+EMBEDDING_BINDING_API_KEY=your_api_key
 
 ### Optional for Azure
 # AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large
@@ -277,6 +279,16 @@ EMBEDDING_BINDING_HOST=http://localhost:11434
 # AZURE_EMBEDDING_ENDPOINT=your_endpoint
 # AZURE_EMBEDDING_API_KEY=your_api_key
 
+### Gemini embedding
+# EMBEDDING_BINDING=gemini
+# EMBEDDING_MODEL=gemini-embedding-001
+# EMBEDDING_DIM=1536
+# EMBEDDING_TOKEN_LIMIT=2048
+# EMBEDDING_BINDING_HOST=https://generativelanguage.googleapis.com
+# EMBEDDING_BINDING_API_KEY=your_api_key
+### Gemini embedding requires sending dimension to server
+# EMBEDDING_SEND_DIM=true
+
 ### Jina AI Embedding
 # EMBEDDING_BINDING=jina
 # EMBEDDING_BINDING_HOST=https://api.jina.ai/v1/embeddings