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Fix: Gemini embedder config and version bump -> 0.1.113 (#3070)

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Dev Khant
2025-06-30 13:31:51 +05:30
committed by GitHub
parent ac085db500
commit 5a1083b709
2 changed files with 6 additions and 1 deletions
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5
mem0/configs/embeddings/base.py
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@@ -31,6 +31,8 @@ class BaseEmbedderConfig(ABC):
memory_add_embedding_type: Optional[str] = None, memory_add_embedding_type: Optional[str] = None,
memory_update_embedding_type: Optional[str] = None, memory_update_embedding_type: Optional[str] = None,
memory_search_embedding_type: Optional[str] = None, memory_search_embedding_type: Optional[str] = None,
# Gemini specific
output_dimensionality: Optional[str] = None,
# LM Studio specific # LM Studio specific
lmstudio_base_url: Optional[str] = "http://localhost:1234/v1", lmstudio_base_url: Optional[str] = "http://localhost:1234/v1",
# AWS Bedrock specific # AWS Bedrock specific
@@ -94,6 +96,9 @@ class BaseEmbedderConfig(ABC):
self.memory_update_embedding_type = memory_update_embedding_type self.memory_update_embedding_type = memory_update_embedding_type
self.memory_search_embedding_type = memory_search_embedding_type self.memory_search_embedding_type = memory_search_embedding_type
# Gemini specific
self.output_dimensionality = output_dimensionality
# LM Studio specific # LM Studio specific
self.lmstudio_base_url = lmstudio_base_url self.lmstudio_base_url = lmstudio_base_url

2
pyproject.toml
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@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project] [project]
name = "mem0ai" name = "mem0ai"
version = "0.1.112" version = "0.1.113"
description = "Long-term memory for AI Agents" description = "Long-term memory for AI Agents"
authors = [ authors = [
{ name = "Mem0", email = "founders@mem0.ai" } { name = "Mem0", email = "founders@mem0.ai" }