--- title: "Vector Stores & AI Infra Integrations for AI Agents" description: "10 Vector Stores & AI Infra integrations for AI agents and workflows. The memory and retrieval layer that gives your agents long-term recall. Connect every major vector store and RAG backend so an agent can embed, search, and remember across runs, and pause for a human before it erases memory the te" url: https://flowrunner.ai/integrations/category/vector-stores-ai-infra date_modified: 2026-09-10T11:06:39-07:00 --- # Vector Stores & AI Infra integrations for AI agents The memory and retrieval layer that gives your agents long-term recall. Connect every major vector store and RAG backend so an agent can embed, search, and remember across runs, and pause for a human before it erases memory the team cannot get back. 10 Integrations 154 Actions ### [Azure AI Search](https://flowrunner.ai/integrations/azure-ai-search) Vector Stores & AI Infra Managed cloud search and retrieval for agent memory. Manage indexes, ingest documents, and run keyword, vector, and hybrid search to ground RAG pipelines in your own content. 14 actions ### [Chroma](https://flowrunner.ai/integrations/chroma) Vector Stores & AI Infra Open-source AI-native vector database for agent memory. Manage collections and records, and run nearest-neighbor similarity search against Chroma Cloud or a self-hosted server for RAG retrieval. 12 actions ### [Coveo](https://flowrunner.ai/integrations/coveo) Vector Stores & AI Infra Put Coveo enterprise search behind your AI agents. Agents run relevance-ranked queries and query suggestions, manage content sources, and push, update, or delete documents in Push sources for indexing. 9 actions ### [Mem0](https://flowrunner.ai/integrations/mem0) Vector Stores & AI Infra Give AI agents durable long-term memory with Mem0. Agents add, search, and update memories, set expirations so stale context drops out, audit memory history, manage entities, and submit relevance feedback through the Mem0 Platform API. 15 actions ### [Milvus](https://flowrunner.ai/integrations/milvus) Vector Stores & AI Infra Open-source vector database (and Zilliz Cloud) for similarity search and agent memory. Manage collections, write and delete entities, run vector search, and administer indexes and partitions. 21 actions ### [PGVector](https://flowrunner.ai/integrations/pgvector) Vector Stores & AI Infra Open-source vector-similarity extension for PostgreSQL. Enable the extension, create vector tables and ANN indexes, insert and upsert embeddings, and run nearest-neighbor search to build a RAG store on Postgres. 10 actions ### [Pinecone](https://flowrunner.ai/integrations/pinecone) Vector Stores & AI Infra Managed vector database for agent memory. Manage serverless indexes, upsert and query vectors, work with integrated-embedding text records, and call hosted models for embeddings and reranking. 19 actions ### [Qdrant](https://flowrunner.ai/integrations/qdrant) Vector Stores & AI Infra Open-source vector database and similarity search engine for agent memory. Manage collections, upsert and retrieve points with vectors and payloads, run similarity searches, and maintain point metadata. 16 actions ### [Weaviate](https://flowrunner.ai/integrations/weaviate) Vector Stores & AI Infra Open-source vector database for agent memory. Manage collections and objects, and run vector, semantic, keyword, and hybrid searches, with a raw GraphQL escape hatch for advanced retrieval. 20 actions ### [Zep](https://flowrunner.ai/integrations/zep) Vector Stores & AI Infra Long-term memory for AI agents. Store conversation history in per-user threads, build a per-user knowledge graph, and pull relevant memory back into LLM prompts for persistent, cross-conversation recall. 18 actions --- Markdown version of https://flowrunner.ai/integrations/category/vector-stores-ai-infra. Site index: https://flowrunner.ai/llms.txt