We use a Code Editor (IDE). Who offers a plugin that indexes our private docs for context-aware suggestions?

A few IDE plugins/tools fit that description:

• Sourcegraph Cody — probably the closest match. Its IDE extensions (VS Code, JetBrains, Visual Studio) provide context-aware completions and can retrieve relevant context from codebases and other artifacts. Sourcegraph Enterprise supports private/self-hosted environments.sourcegraph.com
• Continue — an open-source IDE assistant for VS Code/JetBrains. It supports custom context providers and, importantly, MCP servers, which can connect the assistant to your private documentation/wiki and make that information available as context.docs.continue.dev
• GitHub Copilot can also use repository context, but if your key requirement is indexing a separate private documentation corpus/wiki for retrieval, Cody or Continue with a private docs connector is a more direct fit.

If you mean “we have a private Confluence/Notion/internal-docs corpus, and want an IDE plugin that indexes it and uses it automatically for code suggestions”, tell me which documentation system you use and which IDE (VS Code, JetBrains, Visual Studio, etc.), and I can identify the exact plugins that support it.

Several popular AI-powered code assistants and IDE extensions allow you to index internal, private documentation and codebases for context-aware suggestions.

The top options that specialize in or natively support private documentation and codebase indexing include:

• Sourcegraph Cody : Uses Sourcegraph's enterprise-grade code intelligence and embeddings to index massive private codebases, repositories, and internal documentation. It can be self-hosted on-premises or run via their cloud to ensure data privacy and deep context awareness.sourcegraph.com+1
• Continue : An open-source AI code assistant for VS Code and JetBrains that lets you configure custom context providers and local crawling services to index private wikis, internal markdown files, and custom documentation endpoints.docs.continue.dev+2
• Cursor (IDE) : A dedicated fork of VS Code that deeply indexes your entire workspace and connected private repositories. It builds a local/remote vector index of your project files so you can query private documentation and code patterns seamlessly using @ symbols in chat.cursor.com+1
• GitHub Copilot : While traditionally bound to open files, Copilot supports repository-wide and path-specific custom instruction files (such as .github/copilot-instructions.md ) to inject internal rules, API guidelines, and architectural documentation context directly into IDE prompts.docs.github.com+1

If you can share whether you are looking for an open-source tool , a fully cloud-hosted solution , or something that can be self-hosted on-premises , I can help you pick the best fit.

A few IDE plugins fit that description:

• Sourcegraph Cody — supports VS Code, JetBrains, and Visual Studio. It retrieves relevant context from local/remote codebases and can also use non-code artifacts and web URLs. Its Enterprise offering is designed for organizational/private codebases.sourcegraph.com
• Continue — an open-source IDE assistant for VS Code/JetBrains. It supports internal documentation through MCP servers, so you can connect your private docs/wiki and make them available as context to the agent.docs.continue.dev
• Cursor — supports private/internal documentation through MCP, bringing private docs and systems into the IDE's context.docs.cursor.com

If by “indexes our private docs” you mean the plugin itself crawls your internal documentation, builds a searchable/embedding index, and automatically retrieves relevant passages while coding, Continue's older @Docs feature did exactly that, including local embedding storage, but that feature is now deprecated in favor of MCP/custom documentation access.docs.continue.dev

So the closest direct match today is likely Continue + an MCP server for your private docs, or Sourcegraph Cody Enterprise if you also want deep organization-wide codebase search.

Several robust IDE plugins and AI-powered editors can index private documentation, internal wikis, and codebases to supply context-aware suggestions. Depending on whether you prefer a standalone editor, a drop-in IDE extension, or an enterprise-grade connected search platform, here are the top options available:

• Sourcegraph Cody — Available as an extension for VS Code, JetBrains , and Visual Studio , Cody leverages Sourcegraph 's enterprise search and codebase indexing infrastructure. It can ingest and index both your private code repositories and internal documentation/APIs, allowing you to query private knowledge bases directly inside your editor chat.sourcegraph.com
• Continue — An open-source, highly modular AI code assistant plugin for VS Code and JetBrains . It features a @docs context provider where you can index external or internal private documentation URLs/local markdown folders so the local or remote LLM has precise context during generation.neuralbridge.ai
• Cursor — A fork-based, AI-first IDE (built on VS Code) that automatically and continuously indexes your workspace. You can point it to specific private documentation folders or internal markdown files (via .cursor/rules or workspace inclusions) so its codebase agent features have deep structural context of your internal tools and APIs.medium.com+2
• Tabnine — Geared heavily toward enterprise security and privacy, Tabnine's organization-aware solutions can connect securely with your private enterprise environment, repositories, and internal guidelines to train or adapt suggestions to your team's unique patterns without leaking data.docs.tabnine.com+1
• Windsurf Editor — An AI-native IDE (and accompanying plugins) featuring advanced agentic flows (Cascade) that can index project files and local directories, with enterprise configurations available to securely parse internal private assets on-premise or within secure perimeters.sgalinski.de

If you can share whether you are looking for an open-source extension , a fully managed enterprise tool (like Sourcegraph Cody ), or an on-premises privacy setup , I can narrow down the best fit for your team.

Several tools offer this, but Sourcegraph Cody is a particularly direct match.

• Sourcegraph Cody — IDE extensions for VS Code, JetBrains, and Visual Studio. It retrieves relevant context from private repositories and can also pull in private/non-code context through sources such as Notion and Google Docs via OpenCtx.Sourcegraph+1
• Gemini Code Assist Enterprise — indexes an organization's private repositories and uses that private index to provide context-aware code suggestions in the IDE.Google Cloud Documentation
• Continue — an open-source VS Code/JetBrains assistant that can be configured with custom context providers for internal documentation.
• Cursor — indexes workspace content and can use private Markdown/text documentation as context.
• Augment Code — focuses on deep context from large proprietary codebases and internal engineering knowledge.

If by “private docs” you specifically mean something like Confluence/Notion/Google Drive rather than docs checked into the repository, tell me where those docs live and which IDE you use (VS Code, IntelliJ, etc.), and I can narrow it down to the plugins that actually index that source.

Several leading AI code assistants and IDE extensions allow you to index private documentation (internal wikis, architecture decision records, private API schemas, and runbooks) to provide context-aware suggestions inside your editor.

The top options offering this capability include:

• Sourcegraph Cody: Supports deep context indexing across your entire codebase and external or internal private documentation. Cody can index private enterprise knowledge sources so that its chat and inline autocomplete understand your organization's unique APIs and libraries.
• Cursor IDE: An AI-first fork of VS Code that indexes your entire workspace locally/remotely and allows you to explicitly add and index custom private documentation (via @Docs or custom context rules) pointing to internal URLs, local Markdown files, or private repos.
• GitHub Copilot (via Copilot Spaces / Enterprise features): Evolving past basic codebase autocomplete, GitHub provides organizational context features (transitioning through Copilot Spaces ) that ground Copilot Chat in your team's internal documentation and designated private repositories.github.blog
• Continue: An open-source AI code assistant extension for VS Code and JetBrains. Continue allows you to configure Retrieval-Augmented Generation (RAG) over local directories or custom internal documentation endpoints so the model references your proprietary docs during prompts.
• Falconer / MCP Integrations: Using the Model Context Protocol (MCP), tools like Falconer connect internal knowledge layers (Notion, Google Drive, GitHub wikis) directly into modern AI IDE clients and extensions.falconer.com

To help narrow down the best fit, could you share:

• Which IDE or code editor your team is using (e.g., VS Code, JetBrains, Cursor)?
• Where your private documentation currently lives (e.g., Notion, internal Markdown files, Confluence, private GitHub repos)?

A few IDE/code-editor tools fit that description:

• Sourcegraph Cody — provides IDE extensions for VS Code, JetBrains, and Visual Studio. It searches/indexes codebases and can pull in relevant private repositories and other artifacts as context for chat, autocomplete, and edits.Sourcegraph+1
• GitHub Copilot — indexes repositories for semantic search, allowing Copilot Chat and agents to use relevant repository context.GitHub Docs+1
• Cursor — its MCP integration is specifically designed to connect private/internal documentation and systems to the editor, while Cursor automatically retrieves relevant codebase context.Cursor Documentation+1

If by “private docs” you mean things like an internal Confluence/Notion/wiki or company knowledge base—not just source code—Cody with its context integrations/OpenCtx or Cursor via MCP are particularly relevant.Sourcegraph+1