BGE (BAAI General Embedding) alternatives
6 rag tools in the same lane as BGE (BAAI General Embedding), ranked by editorial score.
VA
Voyage AI
RAG · in-house (voyage-3.5, voyage-4 series, voyage-code-3, voyage-finance-2, voyage-law-2, voyage-multimodal-3.5, voyage-context-3, rerank-2.5)
State-of-the-art embedding models and rerankers purpose-built for retrieval and RAG.
Freemium· Free tier: 200M free text tokens per account for current models (50M for older specialized). Text embeddings $0.00002–$0.00018 per 1K tokens depending on model tier. Rerankers $0.00002–$0.00005 per 1K tokens after 200M free. Multimodal $0.12 per 1M text tokens + $0.60 per 1B pixels. Batch API 33% discount. File storage $0.05/GB/month.Production RAG chatbot over proprietary docsTwo-stage retrieval with embed + rerank
LC
Langchain-Chatchat
RAG · Multi-model (GLM-4, Qwen2, Llama 3, etc. via Xinference/Ollama/LocalAI/FastChat)
7.4
Self-hostable RAG and agent framework that wires LangChain to any local open-source LLM and a knowledge base.
Free· Apache-2.0 open source; self-hosted, infra costs onlyprivate-knowledge-baseoffline-rag
RB
RAGs by LlamaIndex
RAG · Multi-model (OpenAI, Anthropic, Replicate, HuggingFace)
7.0
Open-source Streamlit app that builds a custom RAG pipeline from a natural-language brief.
Free· Free, MIT-licensed; bring your own model/API keysnatural-language-rag-builderdocument-qa
RA
RAGFlow
RAG · Multi-model
8.1
Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.
Freemium· Free tier; Starter $29/mo; Pro $129/mo; Enterprise customdocument-qaenterprise-search
UL
UltraRAG
RAG · Multi-model (MiniCPM-Embedding-Light, AgentCPM-Report, BYO LLM)
7.1
Low-code, YAML-driven RAG pipeline orchestrator with a visual UI for building and demoing retrieval systems.
Free· Open source; self-hostedrag-pipelinesknowledge-base-qa
DE
DeepSearcher
RAG · Multi-model (DeepSeek, OpenAI o1/o3-mini, Claude, Llama, others)
6.9
Open-source agentic RAG framework for private enterprise data, built by the Zilliz/Milvus team.
Free· Free, Apache 2.0; bring your own LLM and vector DB costsenterprise-ragagentic-search