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Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Create custom chatbots with personalized knowledge bases using advanced language models.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Connects language models to a Qdrant vector database for storing and retrieving information.
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Provides semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
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