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

Sourcegraph Cody, Continue , and Cursor offer plugins or built-in IDE integrations that index private documentation and codebases for context-aware coding suggestions.

Top Options Detailed

• Sourcegraph Cody : It serves as an enterprise-grade assistant that connects directly to private code repositories and internal documentation, supporting major IDEs like VS Code and JetBrains.
• Continue : An open-source autopilot plugin for VS Code and JetBrains that gives you total configuration control over how your private documentation and vector databases are indexed.
• Cursor : An AI-first editor built as a fork of VS Code that automatically indexes your workspace and allows you to @-mention specific private doc URLs or folders for instant context.

If you'd like, I can:

• Compare Sourcegraph Cody and Continue for data privacy
• Explain how to index custom docs in Continue

If you mean an IDE plugin/extension that indexes your private documentation (and possibly code) to provide context-aware AI suggestions, several vendors offer this. The best fit depends on where your docs live and your security requirements.

Parse Google Cloud DocumentationA few common architectures:

• Internal docs in Git (Markdown, ADRs, wikis exported to files): Sourcegraph Cody, Continue, or Copilot Enterprise are typical choices.
• Confluence/Notion/SharePoint-style knowledge bases: look for products with connectors or MCP support; some teams build a retrieval layer that feeds the IDE assistant.
• Strict “data never leaves our network” requirements: Continue with a self-hosted model/retrieval stack or Tabnine’s private deployment options are often considered.
• Mostly private code rather than docs: Gemini Code Assist Enterprise, Copilot Enterprise, and Sourcegraph are strong candidates because they index code context directly.

If you tell me:

1. your IDE (VS Code, IntelliJ, Visual Studio, etc.),
2. where the docs live (Confluence, SharePoint, Git, Notion, PDFs, internal wiki), and
3. whether cloud services are allowed,

I can narrow it down to the most suitable plugins.

Several AI code assistants and IDE extensions offer the ability to index private documentation or internal knowledge bases for context-aware suggestions, chat, and autocomplete.

The top options that provide this functionality include:

1. Cursor
   • How it works: Cursor is a dedicated fork of VS Code that indexes your entire workspace locally via embeddings. For private documentation, you can place markdown or text files directly inside your repo or use Cursor's @ symbol system to explicitly reference specific private docs/folders. Enterprise tiers also allow for broader internal codebase and doc indexing.
2. Sourcegraph Cody
   • How it works: Cody operates as a native extension for VS Code, JetBrains IDEs, and Neovim. Sourcegraph's core competency is deep code search, and Cody leverages this infrastructure to index multi-repository private codebases and private documentation. It uses remote context retrieval to pull relevant internal documentation chunks directly into the LLM context window during chats and inline queries.
3. Continue
   • How it works: Continue is an open-source AI code assistant plugin for VS Code and JetBrains. It features custom context providers that can crawl and generate local embeddings for internal documentation sites or local markdown doc folders, allowing you to query your private wiki/docs inline using @docs or custom configuration blocks.
4. Augment Code
   • How it works: Augment is an enterprise-focused AI coding platform built specifically for large, complex, and proprietary codebases. It indexes your entire private environment at an infrastructure level (supporting VS Code and JetBrains) to maintain deep contextual awareness of both your source code and internal architecture notes.

If you'd like to narrow this down, let me know:

• Are you using VS Code, JetBrains, or another IDE?
• Do you prefer a local-first indexing tool or an enterprise cloud-connected platform?
• Where do your private docs currently live (Markdown in-repo, Confluence, Notion, or a private web wiki)?

If you mean an IDE plugin that can use your company’s private documentation/codebase as context for AI coding suggestions, the strongest match is Sourcegraph Cody.

• Sourcegraph Cody — supports VS Code, JetBrains, and Visual Studio. It retrieves context from private repositories and other non-code artifacts, then uses that context for chat, code generation, and autocomplete. Enterprise can run with a self-hosted Sourcegraph instance.
• Tabnine Enterprise — another strong privacy-oriented option. It provides RAG/local workspace awareness and can connect to selected organizational repositories; private installation is available for Enterprise.
• GitHub Copilot Enterprise — particularly attractive if your private documentation and code already live in GitHub, though its context/indexing model differs from Cody's.

If “private docs” is the key requirement rather than just private source code, I’d start with Cody. It explicitly supports retrieving context from repositories and non-code artifacts inside the IDE.

If you tell me which IDE (VS Code, IntelliJ, etc.) and where your private docs live (Confluence, GitHub, Google Drive, SharePoint, internal wiki, etc.), I can narrow this to the best 2–3 options.

Here are top web results for exploring this topic:

Parse.gl·https://www.parse.gl**We use** a Code Editor (IDE ). Who offers a plugin … - Parse We use a Code Editor (IDE). Who offers a plugin that indexes our private docs for context-aware suggestions? Data as of Jul 25, 2026 · Based on 253 AI responses from ChatGPT Search and Google AI Mode Tabnine·https://www.tabnine.com Tabnine AI Code Assistant | Smarter AI Coding Agents. Total ...Tabnine is the AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant. GitHub·https://github.com hashgraph-online/awesome-ai-plugins - GitHub A curated list of awesome plugins for AI assistants including Claude Code, OpenAI Codex / ChatGPT, Gemini, Antigravity, Pi / Oh My Pi, Grok, OpenCode and More. - hashgraph-online/awesome-ai-plugins. JetBrains·https://www.jetbrains.com JetBrains Context : Codebase knowledge for AI agents ... showing this URL: https://jb.gg/context-install. Free during early access. Included with your JetBrains AI subscription at no additional cost. Works with. logo. Claude Agent. logo. OpenAI Codex. J Reddit·https://www.reddit.com Teach your AI editor to find code , not just read it - Reddit When your coding assistant opens files, it still has to discover the right ones. Keyword search misses paraphrases; pure “ask the model” search burns context. OpenCode already gives you an agentic wor VDF.AI·https://vdf.ai Best On-Prem AI Coding Assistants: 11 Tools Compared (2026)Self-hosted AI code assistants compared for private repos: deployment model, licence terms, model choice and what each one leaks. Updated for 2026. vibeindex.dev·https://vibeindex.dev/category/ide-extensions**IDE** Extensions & Plugins — VibeIndex Directory AI coding extensions and plugins for existing IDEs like VS Code, JetBrains, Neovim. Medium·https://medium.com**Context**-**Aware** Coding: How AI Tools Transformed My Development ...I opened Cloude Code with Artiforge.ai. I asked: “Artiforge resolve this for me: Why is validatePaymentMethod returning undefined in the checkout flow?” The AI coding assistant read my entire codebase www.repowise.dev·https://www.repowise.dev/blog/comparisons/best-codebase-documentation-tools-ai-agents Best Codebase Documentation Tools for AI Coding Agents - repowise Pick Greptile if you need. PR review plus codebase context. Dependency-aware analysis. A self-hostable option around review workflows. For teams building with Claude Code or Cursor, the practical spli arXiv·https://arxiv.org A Context-Aware Agentic Method Comment Generation Plugin - arXiv Methods as main building blocks in a program can offer developers this knowledge source for code comprehension. However, reading entire method statements can be challenging, which necessitates precise

Yes. If by “plugin” you mean an AI coding assistant inside an existing IDE that can use private internal documentation as context, the strongest options I found are:

My first look would be Sourcegraph Cody. Its Enterprise offering is explicitly designed to retrieve context from local and remote codebases, and Cody supports VS Code, JetBrains, and Visual Studio. It can also add specific non-code artifacts to the context.

If the requirement is specifically “index our private docs,” rather than primarily our code, Continue is particularly interesting. Its current documentation describes using internal documentation through custom MCP servers, while its IDE extensions provide context-aware AI assistance.

One caveat: “private docs” can mean very different things—Markdown/Git files, Confluence, Notion, SharePoint, an internal wiki, PDFs, etc. The best vendor depends heavily on where those documents live and whether you require on-prem/self-hosted indexing.

If you tell me which IDE (VS Code, IntelliJ, Visual Studio, etc.) and where the private docs live, I can narrow this to the 2–3 best matches.

If you mean an IDE plugin that can index your organization’s private documentation and use it as context while coding, the strongest matches are:

• Sourcegraph Cody — probably the closest fit for an enterprise setup. Cody can retrieve context from private repositories and other documents, and its IDE extensions support VS Code, JetBrains, and Visual Studio. Enterprise deployments can also be self-hosted.
• Continue — an open-source IDE assistant for VS Code/JetBrains that can connect documentation sources and give the model that context. Good if you want control over the retrieval/indexing stack.
• Cursor — an AI-first code editor with documentation/context features, useful if you're willing to use Cursor rather than add a plugin to an existing IDE.
• Windsurf — offers plugins for existing IDEs including VS Code, Visual Studio, and Eclipse, with context-aware coding assistance.

If private docs are the key requirement, I'd investigate Sourcegraph Cody and Continue first. Cody is particularly compelling if you have lots of internal code + documentation and need enterprise/private deployment.

If you tell me which IDE you use and where the private docs live (Confluence, Notion, SharePoint, Git, Google Drive, etc.), I can narrow it down to the best 2–3 options.

Several tools and IDE plugins allow you to index private or custom documentation for context-aware AI suggestions. The right choice depends on whether you work inside VS Code, JetBrains, or a dedicated AI fork, and whether your docs are hosted internally or available via a private URL.

• Cursor : If you use Cursor (the AI-first fork of VS Code), it features a built-in @Docs indexing capability. You can add internal or private documentation URLs (or drop Markdown files into your workspace), and Cursor will scrape and index them into a vector context. You can then trigger them using @Doc during chats or agent edits.
• Sourcegraph Cody : Available as a robust plugin for both VS Code and JetBrains IDEs, Cody connects local workspaces to remote enterprise code graphs. For private docs and institutional knowledge, Cody Enterprise supports integration via the Model Context Protocol (MCP) , allowing the assistant to safely pull context from internal documentation silos, wikis, and databases directly inside your editor flow.
• Continue : An open-source AI coding assistant available as an extension for VS Code and JetBrains. Continue allows you to configure custom documentation sources (using @docs ) by pointing it to specific URLs or local Markdown directories, which it then embeds locally or via your choice of model provider for contextual retrieval.
• JetBrains AI Assistant : If you are using JetBrains IDEs (IntelliJ, PyCharm, WebStorm, etc.), the native AI Assistant builds a deep semantic index of your repository structure and supports enterprise configurations that tie into internal knowledge frameworks and customized LLM routing.

To help narrow down the best fit, let me know:

• What IDE or code editor your team standardizes on (VS Code, IntelliJ/JetBrains, Neovim, etc.)
• How your private documentation is hosted (internal intranet/Wiki, private web URLs, or local Markdown files)

If you mean an IDE plugin that can index your company’s private code, documentation, and internal knowledge so the AI gives context-aware suggestions, several vendors offer this:

For private internal docs specifically (engineering wiki, API docs, tickets, design docs—not just source code), enterprise-focused tools are usually the better fit:

• Sourcegraph Cody Enterprise is one of the more documentation/context-oriented choices: it uses retrieval from indexed codebases and context sources to answer questions and generate code inside supported IDEs.
• GitHub Copilot Enterprise is attractive if your organization already lives in GitHub and wants repository/knowledge integration.
• Tabnine Enterprise is often considered when data residency, private cloud, or stricter controls are priorities.
• Cursor is popular for individual developers or smaller teams wanting fast local-project indexing, but it is less centered around enterprise knowledge management.

The best match depends on where your private docs live:

• Git repos / Markdown docs → Sourcegraph, Copilot, Cursor
• Confluence / SharePoint / internal wiki → look for enterprise connectors (Sourcegraph and Copilot Enterprise are common candidates)
• Strict no-cloud requirements → Tabnine Enterprise or self-hosted approaches

If you tell me your IDE (VS Code, IntelliJ, Visual Studio, etc.) and where the docs live (Git, Confluence, Notion, SharePoint, internal site), I can narrow it down.

Several modern AI code assistants and AI-first editors offer robust plugins or native extensions that index internal, local, or private documentation via Retrieval-Augmented Generation (RAG) for context-aware suggestions.

The primary options that handle private or custom documentation indexing include:

• Continue : An open-source AI coding assistant available as an extension for VS Code and a plugin for JetBrains IDEs. It features built-in documentation indexing (@docs ) where you can configure base URLs or local folders of internal markdown/HTML docs. Continue runs a local background indexing process via its CLI to chunk and store vectors, letting you query private documentation right inside your chat and inline prompts.
• Cursor : An AI-first code editor built on top of VS Code that indexes your entire open workspace semantic layout on first open. For specific private docs, you can point Cursor to internal documentation links or drop private markdown documentation files directly into your workspace/subfolders and reference them contextually using @Docs or @file.
• Sourcegraph Cody : Available as a plugin for VS Code, JetBrains, and Neovim, Cody connects to your enterprise Sourcegraph instance or local codebase. Enterprise deployments index all of your private repositories and internal code graphs, allowing Cody to provide deep, context-aware answers and suggestions grounded in your private internal packages and proprietary patterns.
• Codeium / Windsurf : Offers robust IDE plugins (VS Code, JetBrains, etc.). Under their Enterprise plans, Codeium supports self-hosted/VPC deployments and custom codebase/documentation fine-tuning or indexing so that inline autocompletions and chat understand proprietary internal APIs and internal style guides.

If you can share whether your private docs are hosted online (internal wiki/Confluence/Notion), local markdown files , or if you require a 100% self-hosted/on-premise setup, I can help you pick the exact tool and configuration approach.