Alternatives to Vespa AI

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

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

Fully managed vector lakebase for enterprise-scale AI search and RAG

Open-source embedded vector database with sub-millisecond search at billion scale.

Build and scale AI apps with native vector search in a multi-cloud developer data platform.

Managed vector database purpose-built for AI agent memory and semantic search.

Open-source vector similarity search for Postgres

Open-source serverless vector search for AI developers

Distributed SQL database for AI agents with vector search, HTAP, and ACID transactions.

Unified analytics, search, and AI on your object store — built in Rust.

Airbyte is the context layer that connects AI agents to 600+ tools for real-time search, read, act, and reason.

Distributed transactional document database with built-in vector search for AI agents.

Multimodal video search API: find any scene by description

Open-source RAG engine with high-precision hybrid search for enterprise AI agents.

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

Open lakehouse format for multimodal AI with fast random access and hybrid search.

Open-source real-time analytics and search database for AI workloads.

Self-hosted RAG search engine with BM25+hybrid retrieval and multi-LLM support.

Open-source admin UI for ChromaDB vector database

Pre-built connectors and RAG APIs for context-aware AI apps.

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

Serverless vector database with auto-scaling and tiered storage for GenAI apps

Context Data: Automate data pipelines to build production RAG systems fast.

Free Elasticsearch Labs hub for AI search tutorials, notebooks, and example apps

Incremental data framework for AI agents with always-fresh context.

Self-hosted code search and AI Q&A for enterprise repos and agents.

Self-driving company brain that syncs context across all your AI tools

Context that keeps building across your work tools.

Graph + vector persistent memory for AI agents and applications.

Open-source context retrieval layer for AI agents and RAG pipelines