Alternatives to GraphRAG

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

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-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.

Ragie Connect syncs Google Drive, Notion, Slack, and Confluence into an agent-ready RAG context engine via API.

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

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

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.

Elasticsearch Labs: free tutorials, notebooks, and reference apps for AI search, vector search, and RAG on Elasticsearch.

Open-source GraphRAG that traces every LLM answer back to a node in an auditable knowledge graph.

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.

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.

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

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

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

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

Research lab training SID-1, an agentic search model for retrieving context in AI systems.

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

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

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

VectorAI DB: run a local vector database for persistent AI agent memory on your own hardware, offline or air-gapped.

TiDB is a distributed SQL database with native vector search for AI agent memory, state, and RAG at scale.

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

PostgresML brings LLM inference, embeddings, and vector search to your database with SQL — Postgres with GPUs for RAG and ML.

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

Kronotop is a distributed transactional document database with built-in vector search and millions of isolated agent namespaces per cluster.