Alternatives to VeritasGraph

Specialized embedding models and rerankers for high-accuracy enterprise RAG, with 32K-token context and multimodal support.

Open-source embeddings plus agentic AEC automation for drawing review and compliance.

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 AI platform for enterprises needing private deployment and multilingual models

Open-source RAG engine with advanced ETL, hybrid search, 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.

Multimodal search & retrieval API for AI agents in 100+ languages

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

Vespa is a distributed serving engine that unifies vector, text, and ML ranking for AI search at scale.

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

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

Cross-attention reranking model that sharpens retrieval for RAG pipelines and AI agents.

Open-source vector database for production-grade AI retrieval at scale, with hybrid search and advanced filtering.

Open-source vector similarity search for Postgres — store embeddings with your relational data, no extra database.

Open-source AI search platform unifying vector, text, and ML ranking for scalable applications.

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

Open-source, serverless vector search built on object storage that claims up to 10x lower cost.

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

Open-source distributed SQL database with vector search, ACID transactions, and HTAP for AI agent workloads.

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

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

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

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

Sub-10ms real-time semantic search for voice AI and copilots, no vector DB needed.

5-line RAG framework for Python developers integrating GenAI into apps

In-memory graph database for real-time GraphRAG and AI memory

Scalable memory infrastructure for AI agents with millisecond recall