Merge remote-tracking branch 'origin/feat/v3-pipeline' into feat/v3-pipeline

# Conflicts:
#	mem0-ts/src/oss/src/utils/factory.ts
#	mem0/vector_stores/milvus.py
#	mem0/vector_stores/qdrant.py
This commit is contained in:
Soumil Rathi
2026-04-12 16:30:05 -07:00
2 changed files with 16 additions and 11 deletions
-9
View File
@@ -1,6 +1,5 @@
import { OpenAIEmbedder } from "../embeddings/openai";
import { OllamaEmbedder } from "../embeddings/ollama";
import { LMStudioEmbedder } from "../embeddings/lmstudio";
import { OpenAILLM } from "../llms/openai";
import { OpenAIStructuredLLM } from "../llms/openai_structured";
import { AnthropicLLM } from "../llms/anthropic";
@@ -20,7 +19,6 @@ import { Qdrant } from "../vector_stores/qdrant";
import { VectorizeDB } from "../vector_stores/vectorize";
import { RedisDB } from "../vector_stores/redis";
import { OllamaLLM } from "../llms/ollama";
import { LMStudioLLM } from "../llms/lmstudio";
import { SupabaseDB } from "../vector_stores/supabase";
import { SQLiteManager } from "../storage/SQLiteManager";
import { MemoryHistoryManager } from "../storage/MemoryHistoryManager";
@@ -35,7 +33,6 @@ import { LangchainEmbedder } from "../embeddings/langchain";
import { LangchainVectorStore } from "../vector_stores/langchain";
import { AzureAISearch } from "../vector_stores/azure_ai_search";
import { PGVector } from "../vector_stores/pgvector";
import { DeepSeekLLM } from "../llms/deepseek";
export class EmbedderFactory {
static create(provider: string, config: EmbeddingConfig): Embedder {
@@ -44,8 +41,6 @@ export class EmbedderFactory {
return new OpenAIEmbedder(config);
case "ollama":
return new OllamaEmbedder(config);
case "lmstudio":
return new LMStudioEmbedder(config);
case "google":
case "gemini":
return new GoogleEmbedder(config);
@@ -72,8 +67,6 @@ export class LLMFactory {
return new GroqLLM(config);
case "ollama":
return new OllamaLLM(config);
case "lmstudio":
return new LMStudioLLM(config);
case "google":
case "gemini":
return new GoogleLLM(config);
@@ -83,8 +76,6 @@ export class LLMFactory {
return new MistralLLM(config);
case "langchain":
return new LangchainLLM(config);
case "deepseek":
return new DeepSeekLLM(config);
default:
throw new Error(`Unsupported LLM provider: ${provider}`);
}