Alternatives to Moss

Enterprise-grade embedding models and rerankers that boost RAG accuracy and cut vector storage costs.

Open-source embeddings plus an AEC platform that automates drawing reviews, code checks, and document creation.

Easily train and use ColBERT late-interaction retrieval in any RAG pipeline.

Fully managed vector database for fast, accurate AI retrieval at scale

Multimodal video search API: find any scene by description in your object storage.

Sovereign enterprise AI platform for private deployment, multilingual models, and secure workplace AI.

Open-source RAG engine with high-precision retrieval, ETL pipeline, and visual agent orchestration for enterprise AI.

Open-source vector database for billion-scale AI similarity search.

Open-source AI database with vector search, RAG, and managed agent memory.

Unified multimodal retrieval API with sub-200ms search, agentic search, and listwise reranking.

Open-source knowledge-graph RAG that maps entities and communities to answer complex, cross-document questions.

Open-source AI search engine uniting vector, text, and ML ranking at scale.

AI-native hybrid search API for RAG, recommendations, and relevance tuning.

Open-source multimodal lakehouse for AI curation, feature engineering, and search.

Semantic reranking model that refines retrieval for RAG and AI agents.

High-performance open-source vector database for hybrid search and AI retrieval at scale.

Open-source vector similarity search for Postgres — add embeddings to your existing database.

Open-source hybrid search & ranking engine for AI at scale, powering GenAI, RAG, and recommendations.

Fully managed vector lakebase for high-scale AI search, RAG, and recommendations.

Open-source serverless vector search that's up to 10x cheaper

Vector & full-text search on object storage: 10x cheaper, petabyte-scale, sub-10ms p50 latency

Open-source graph memory platform that gives AI agents persistent, relationship-aware recall

AI-native distributed SQL database with vector search, ACID, and HTAP for agentic workloads.

Serverless Postgres with branching, autoscaling, and a full backend for apps & agents.

Open-source real-time SQL analytics, full-text search, and vector database for AI.

Zero-dependency, local-first memory layer for AI agents with sub-ms latency.

5-line RAG framework for developers integrating GenAI into apps

Open-source framework for self-hosted RAG with zero data leakage

Open-source multimodal AI lakehouse format with hybrid search and 100x faster random access.

Open-source GraphRAG & knowledge graph framework for auditable, multi-hop AI reasoning.