Alternatives to VeritasGraph

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

Self-hosted Decentralized Knowledge Graph node software that gives AI agents shared, verifiable memory across platforms and models.

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

Open-source RAG engine with built-in ETL, hybrid search and visual AI agent orchestration

Chroma is open-source search infrastructure for AI that keeps vectors, indexes and metadata on cheap object storage.

Qdrant: open-source Rust vector search engine built for filtered hybrid search at scale

Memgraph is an in-memory graph database for GraphRAG, AI agent memory, and real-time graph analytics on one engine.

Vespa is an open-source AI search platform combining vector, text and tensor retrieval with machine-learned ranking in one engine.

OpenCrab turns your documents into versioned ontology knowledge packs that Claude, ChatGPT, Cursor and Codex query through one MCP URL.

Weaviate is an open-source AI database that combines vector search, hybrid search, and RAG with agent memory in one stack.

LanceDB is an open-source multimodal lakehouse for vector search, curation, and training on one Lance table.

Open-source vector database for GenAI apps, scaling from a pip install to tens of billions of vectors

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.

Open-source, self-hosted AI search and RAG chat you add to your site with one script tag

Embeddable RAG for Elixir and Phoenix — vector search, GraphRAG, and agentic retrieval inside your existing Ecto/Postgres repo.

Open-source context retrieval layer that syncs your apps and databases so AI agents query live business data in natural language.

Open-source in-process vector database from Alibaba — install one Python package, query millions of vectors in seconds.

NodeDB is a universal database engine fusing vector, graph, document, columnar, key-value, and full-text search in one SQL binary.

Open-source, in-memory text vector database for .NET apps that adds semantic search and RAG without provisioning a vector server.

Open long-context text embeddings plus agentic code-compliance and submittal review for AEC firms

Fully managed vector database and knowledge platform: search, upsert, and rerank from one index and one API key.

Context layer for AI agents: push nested JSON once, then query graph, vector, and analytics through a single API.

Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object

Open ColPali visual document retrieval models plus the ViDoRe V3 enterprise benchmark — free weights and code on Hugging Face.

InterLock is a proxy that authorizes, redacts, and audits every request your AI agents make to production databases, files, and APIs.

Self-hosted RAG search engine that answers questions over 34 document formats without your files leaving your infrastructure.

RustyRAG turns your documents into cited streaming answers in about 300 ms at p50, built for voice agents and live chat.

Fully managed vector database on Milvus for RAG, semantic search, and billion-scale AI applications.

Meilisearch delivers typo-tolerant, sub-50ms search-as-you-type plus hybrid vector and multimodal retrieval through one REST API.

pgvector adds vector similarity search inside Postgres, so embeddings live next to your relational data.