Semantic Code Search: add team resources, runbooks, and documentation links

The Semantic Code Search team is part of the AI Core Infra organization. The team focuses on GitLab's RAG implementation for providing semantic understanding of code repositories.

This page is a work in progress.

## Key Information

| | |

| **Group Label** | `group::ai core infra` |

| **Category Labels** | `category:semantic code search` |

## Team Resources

| Resource | Link |

|---|---|

| **Team Project** | [gitlab-org/ai-powered/semantic-code-search/team](https://gitlab.com/gitlab-org/ai-powered/semantic-code-search/team) |

| **Planning Issues** | [Planning Issues](https://gitlab.com/gitlab-org/ai-powered/semantic-code-search/team/-/work_items?sort=created_date&state=opened&label_name%5B%5D=Planning%20Issue&first_page_size=100) |

| **Issue Board** | [Issue Board](https://gitlab.com/groups/gitlab-org/-/boards/11125588) |

## Runbooks

The [Active Context](https://runbooks.gitlab.com/ai-active-context/) runbook provides operational guidance for the underlying framework powering semantic code search, including the embeddings pipeline, vector store management, and codebase indexing.

## Documentation

- [Semantic Code Search documentation](https://docs.gitlab.com/user/gitlab_duo/semantic_code_search/)

1. [Semantic Code Search](https://docs.gitlab.com/user/gitlab_duo/semantic_code_search/) — user documentation

1. [Semantic Search development](https://docs.gitlab.com/development/ai_features/semantic_search/) — development documentation covering the Active Context framework internals

## Design Documents

1. [Codebase as Chat Context](/handbook/engineering/architecture/design-documents/codebase_as_chat_context/) — feature design (semantic search, embeddings, chunking, ad-hoc indexing)

1. [AI Context Abstraction Layer](/handbook/engineering/architecture/design-documents/ai_context_abstraction_layer/) — ActiveContext framework design (tasks, embedding models)