AI internal wiki Q&A

Hybrid vector + keyword search in the enterprise-grade Elasticsearch engine

The enterprise AI assistant that searches, answers, and takes action across your business systems

Work AI platform that unifies enterprise knowledge, search, and agents

Enterprise AI platform that grounds LLMs in your operational data and runs agents against real business systems.

Managed hybrid vector search that lives inside the Databricks lakehouse and auto-syncs with your source tables.

In-line AI inside your Notion docs and databases.

AWS's enterprise AI assistant for developers, analysts, and knowledge workers, wired into your company data.

Production-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.

Agent-as-a-Service platform with managed RAG and a no-code builder for vertical enterprise AI.

Open-source graph-memory layer that gives AI agents persistent, queryable context across sessions.

Open-source BI platform with a Metabot AI layer for natural-language querying over your warehouse.

Tencent's open-source RAG framework that turns raw documents into a queryable knowledge base, ReAct agent, and self-maintaining wiki.

Open-source enterprise RAG and agent platform with built-in workflow engine and multi-LLM support.

Production-ready, air-gapped RAG framework for querying your documents with local LLMs.

Enterprise AI agent orchestration that brings RAG and agents to your existing data stack without migration.

Enterprise-grade LLM platform built for private, secure, and customizable deployment.

Open-source agentic RAG framework for private enterprise data, built by the Zilliz/Milvus team.

Chat-native enterprise search and task automation hub that lives inside Slack and Google Chat.

Enterprise data platform for deploying private RAG pipelines without infrastructure plumbing.

AI-native documentation platform that writes, maintains, and serves docs to humans and LLMs.

Open-source AI agent platform that fuses agentic RAG with knowledge graphs on a LangGraph runtime.

Let Claude read your local Apple Notes over the Model Context Protocol.

Governed AI-agent infrastructure that safely connects LLMs to your real data systems

Read, list, and search your Google Drive from any MCP-compatible AI client.

The official Notion MCP server: give Claude, Cursor, and Copilot typed access to your Notion pages, databases, and comments.

Model Context Protocol server that lets Claude read, write, and reorganize your Obsidian vault.

Open-source AI chat connected to your docs, apps, and people

Open-source MCP knowledge server that makes any AI fluent in your company data

AI office assistant that turns your documents and connected apps into a cited, agentic knowledge base

AI-native distributed SQL database with built-in vector search, agent memory, and RAG pipelines

Enterprise agent platform with built-in retrieval, grounding, and hallucination controls

State-of-the-art embedding models and rerankers purpose-built for retrieval and RAG.