Empower RAG via Cohere — generate high-quality text embeddings, rerank documents for better accuracy, and perform AI classification directly from any AI agent.

Manage enterprise search via Elastic — search engines and documents, handle indexing, and monitor search analytics directly from any AI agent.

Empower vector search via Elasticsearch — perform dense vector kNN searches, handle index mappings, and index embedding documents directly from any AI agent.

Manage personal notes via Evernote — create and search notes, handle notebooks and tags, and monitor account quotas directly from any AI agent.

Power your RAG and search via Jina AI — generate embeddings, rerank documents, read URLs, and perform semantic web search.

Query and manage RAG pipelines via LlamaIndex — execute natural language searches, audit indexed files, and monitor data pipelines.

Give your AI agent persistent memory — store, search, and recall facts, preferences, and context across sessions using the leading agent memory platform.

Manage vector storage via MongoDB Atlas — perform similarity searches, query MQL documents, and audit collections.

Equip your AI agent to manage your Pinecone vector databases. Query embeddings, fetch metrics, manage collections, and run stats natively via chat.

Manage vector embeddings via Chroma — list collections, query embeddings, and audit document counts directly from any AI agent.

Semantic search engine built for AI — find conceptually relevant web content, not just keyword matches. Powered by neural search technology.

Empower your AI to interact directly with your Qdrant vector database — query clusters, perform similarity searches, and manage collections effortlessly.

Connect your AI to Supabase Vector. Execute pgvector semantic searches, manage embeddings, and run relational database queries directly from your terminal.

Search across your enterprise data using Google's semantic search and generative AI grounding.

Equip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes natively inside your Redis stack.

Manage AI-powered search via Lucidworks Fusion — execute semantic queries, index documents, and monitor ML training jobs.

Manage semantic search via Marqo — execute tensor queries, index JSON documents, and audit vector indices.

Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections.

Equip your AI agent to natively interact with your SingleStore database. Execute raw SQL queries, perform semantic vector searches, list workspaces, and audit billing directly from the terminal.

Automate vector similarity searches via Typesense — index documents, manage collections, and execute semantic queries directly from your AI agent.

Empower your agent with Vectara's RAG capabilities. Search corpora natively, execute grounded chats, and manage indexed datasets easily.

Search and manage vector data on Weaviate — the AI-native database for building production-grade AI applications.

Power your AI agents with real-time web search via Linkup — execute semantic queries and extract RAG-ready content.

Search and analyze complex data with AI-powered insights on IBM watsonx Discovery — the cognitive search engine.

AI-powered talent acquisition API for parsing, matching, and reasoning.

Classify data and perform semantic search via Nyckel — track ML functions, samples, and labels directly from your AI agent.

Build knowledge graphs from unstructured data — ingest text, extract entities and relationships, and search with graph-aware AI reasoning.

Connect your Verba RAG platform to your AI agent. Search your documents, retrieve semantic answers, and manage your Weaviate knowledge base directly.