Alternatives to Vespa AI

Vespa is a distributed AI search platform unifying vector, text, and ML ranking at scale.

Open-source vector database for billion-scale AI similarity search and RAG

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

Open-source, cloud-native data warehouse in Rust unifying analytics, vector search, and full-text search on object storage.

Zvec: open-source, in-process vector database with sub-millisecond search at billion scale.

Open-source RAG engine that turns messy documents into a trustworthy context layer for AI agents, with ETL, hybrid search and agentic retrieval.

pgvector adds open-source vector similarity search to Postgres so you can store embeddings next to your relational data.

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

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

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

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

Open-source lakehouse format for multimodal AI with hybrid search.

Serverless vector database with hybrid search for GenAI apps, auto-scaled to your workload

Open-source incremental data framework for AI agents, processing only deltas for always-fresh context.

One universal database engine that fuses vector, graph, document, columnar, key-value, and full-text search behind a single SQL query.

Open-source context retrieval layer grounding AI agents in real-time data from your apps and databases.

Open-source PDF-to-vector pipeline for RAG in one command.

Build AI apps with MongoDB Atlas—native vector search, hybrid search, and reranking in one multi-cloud data platform.

Open-source protocol suite for standardizing LLM, vector, graph, and embedding infrastructure.

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

Open-source agent platform fusing knowledge graphs with RAG for explainable enterprise AI

Open-source CLI that turns 18 source types into AI skills and RAG knowledge for 22 AI platforms.

Open-source content intelligence engine for CPU-only document extraction

Serverless, PostgreSQL-compatible database with GPU-accelerated vector search, built for AI agent workloads.

Open-source AI file analyzer with on-premise processing and unlimited file length support.

Graph + vector persistent memory for AI agents — push JSON, get a typed, searchable graph.

Distributed transactional document database with vector search for AI agents on FoundationDB.

Fully managed vector database and knowledge platform for agentic AI retrieval

Multimodal video search API that finds any timestamped scene by description in your object storage.

The AI operating system for private market investors, with fully sourced answers and compounding knowledge.