# vectordb-cli
A lightweight command-line tool for fast, local code search using semantic retrieval powered by ONNX models and Qdrant. Now with multi-repository and branch-aware indexing!
**Note:** This repository contains both the `vectordb-cli` command-line tool and the underlying `vectordb_lib` library.
**Note:** This is currently not a stable product. It works but has bugs. I am working hard to fix these bugs and increase test coverage (current coverage ~28%).
## Table of Contents
- [Features](#features)
- [Use Cases](#use-cases)
- [Supported Languages](#supported-languages)
- [Setup](#setup)
- [Prerequisites](#prerequisites)
- [Qdrant Setup](#qdrant-setup)
- [Environment Setup Guides](#environment-setup-guides)
- [Installation](#installation)
- [Configuration](#configuration)
- [Environment Variables](#environment-variables)
- [Configuration File (`config.toml`)](#configuration-file-configtoml)
- [Usage (CLI)](#usage-cli)
- [Global Options](#global-options)
- [Simple Indexing (index)](#simple-indexing-index)
- [Repository Management (`repo`)](#repository-management-repo)
- [`repo add`](#repo-add)
- [`repo list`](#repo-list)
- [`repo use`](#repo-use)
- [`repo remove`](#repo-remove)
- [`repo use-branch`](#repo-use-branch)
- [`repo sync`](#repo-sync)
- [`repo clear`](#repo-clear)
- [`query`](#query)
- [`stats`](#stats)
- [`list`](#list)
- [`clear`](#clear)
- [Library (`vectordb_lib`)](#library-vectordb_lib)
## Features
- **Semantic Search:** Finds relevant code chunks based on meaning using ONNX models.
- **Repository Management:** Manage configurations for multiple Git repositories.
- **Branch-Aware Indexing:** Track and sync specific branches within repositories.
- **Qdrant Backend:** Utilizes a Qdrant vector database instance for scalable storage and efficient search.
- **Local or Remote Qdrant:** Can connect to a local Dockerized Qdrant or a remote instance.
- **Simple Indexing (Default):** Recursively indexes specified directories (can be used alongside repository management).
- **Configurable:** Supports custom ONNX embedding models/tokenizers and Qdrant connection details via config file or environment variables.
## Use Cases
- **Debugging Assistance:** Use semantic search to find potentially related code sections when investigating bugs. Combine with LLMs by providing relevant code snippets found through queries for diagnosis, explanation, or generating flow charts.
- **Code Exploration & Understanding:** Quickly locate definitions, implementations, or usages of functions, classes, or variables across large codebases or multiple repositories, even if you don't know the exact name.
- **Finding Examples:** Locate examples of how a particular API, library function, or design pattern is used within your indexed code.
- **Onboarding:** Help new team members find relevant code sections related to specific features or concepts they need to learn.
- **Building AI Coding Tools:** Integrate the `vectordb_lib` library into your own AI-powered development tools, agents, or custom workflows.
- **Documentation Search:** Index and search through Markdown documentation alongside code (Note: Current Markdown parsing is basic but will be improved).
- **Refactoring & Auditing:** Identify code locations potentially affected by refactoring or search for specific patterns related to security or best practices.
## Supported Languages
The CLI uses tree-sitter for Abstract Syntax Tree (AST) parsing to extract meaningful code chunks (like functions, classes, structs) for indexing. This leads to more contextually relevant search results compared to simple line-based splitting.
Here is the current status of language support:
| Rust | ✅ Supported | functions, structs, enums, impls, traits, mods, macros, use, extern crates, type aliases, unions, statics, consts |
| Ruby | ✅ Supported | modules, classes, methods, singleton_methods |
| Go | ✅ Supported | functions, methods, types (struct/interface), consts, vars |
| Python | ✅ Supported | functions, classes, top-level statements |
| JavaScript | ✅ Supported | functions, classes, methods, assignments |
| TypeScript | ✅ Supported | functions, classes, methods, interfaces, enums, types, assignments |
| Markdown | ✅ Supported | headings, code blocks, list items, paragraphs |
| YAML | ✅ Supported | documents |
| Other | ✅ Supported | Whole file chunk (fallback_chunk) |
Files with unsupported extensions will automatically use the whole-file fallback mechanism.
**Planned Languages:**
Support for the following languages is planned for future releases:
* Java (`.java`)
* C# (`.cs`)
* C++ (`.cpp`, `.h`, `.hpp`)
* C (`.c`, `.h`)
* PHP (`.php`)
* Swift (`.swift`)
* Kotlin (`.kt`, `.kts`)
* HTML (`.html`)
* CSS (`.css`)
* JSON (`.json`)
## Setup
### Prerequisites
- **Rust:** Required for building the project. Install from [rustup.rs](https://rustup.rs/).
```bash
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source "$HOME/.cargo/env"
```
- **Git:** Required for repository management features (`repo add`, `repo sync`, etc.).
- **Build Tools:** Rust often requires a C linker and build tools.
- **Linux (Debian/Ubuntu):**
```bash
sudo apt-get update && sudo apt-get install build-essential git-lfs libssl-dev pkg-config
```
- **macOS:** Install the Xcode Command Line Tools. If you don't have Xcode installed, running the following command in your terminal will prompt you to install them:
```bash
xcode-select --install
```
Install required packages using Homebrew:
```bash
brew install git-lfs pkg-config
```
- **Qdrant:** A Qdrant instance (v1.7.0 or later recommended) must be running and accessible. See [Qdrant Setup](#qdrant-setup).
- **ONNX Model Files:** An ONNX embedding model and its corresponding tokenizer files are required. See [Installation](#installation) and [Configuration](#configuration).
### Qdrant Setup
`vectordb-cli` requires a running Qdrant instance. Each managed repository will have its own collection in Qdrant, named `repo_<repository_name>`.
**Option 1: Docker (Recommended for Local Use)**
```bash
docker run -p 6333:6333 -p 6334:6334 \
-v $(pwd)/qdrant_storage:/qdrant/storage:z \
qdrant/qdrant:latest
```
This starts Qdrant with the default gRPC port (6333, used by `vectordb-cli`) and HTTP/REST port (6334, typically for the web UI) mapped to your host. Data will be persisted in the `qdrant_storage` directory in your current working directory.
**Option 2: Qdrant Cloud or Other Deployment**
Follow the instructions for your chosen deployment method. You will need the **URL** (including `http://` or `https://` and the port, typically 6333 for gRPC) and potentially an **API Key** if required by your setup.
### Environment Setup Guides
For specific environment configurations (GPU acceleration), refer to the guides in the `docs/` directory:
- [docs/CUDA_SETUP.md](./docs/CUDA_SETUP.md) (Linux with NVIDIA GPU)
- [docs/MACOS_GPU_SETUP.md](./docs/MACOS_GPU_SETUP.md) (macOS with Metal GPU)
- [docs/CODEBERT_SETUP.md](./docs/CODEBERT_SETUP.md) (Using CodeBERT model - *may be outdated*)
## Installation
1. **Clone the Repository:**
```bash
git clone https://gitlab.com/amulvany/vectordb-cli.git
cd vectordb-cli
```
2. **Prepare ONNX Model & Tokenizer:**
Download or obtain your desired ONNX embedding model (`.onnx` file) and its tokenizer configuration (`tokenizer.json` and potentially other files like `vocab.txt`, `merges.txt`, etc., usually in a single directory). Place them in a known location. See [Configuration](#configuration) for how to tell the tool where these are.
**Using the Example Model:** This repository includes an example `all-MiniLM-L6-v2` model in the `onnx/` directory, managed via Git LFS. If you followed the prerequisites and installed Git LFS, Git should handle pulling the model files automatically when you clone or pull updates. If the `.onnx` file in `onnx/model/` is small (a pointer file), you might need to run `git lfs pull` manually.
**Note:** The tool dynamically detects the embedding dimension from the provided `.onnx` model.
3. **Build:**
* **Standard (CPU):**
```bash
cargo build --release
```
* **With CUDA GPU Support (Linux):** Ensure you have NVIDIA drivers, the CUDA toolkit, and `cudnn` installed (see [docs/CUDA_SETUP.md](./docs/CUDA_SETUP.md)). Then build with:
```bash
cargo build --release --features ort/cuda
```
* **With Metal GPU Support (macOS):** (See [docs/MACOS_GPU_SETUP.md](./docs/MACOS_GPU_SETUP.md))
```bash
cargo build --release --features ort/coreml ```
4. **Understanding the Build Process (Linux/macOS):**
* The project uses a build script (`build.rs`) to simplify setup.
* During the build, this script automatically finds the necessary ONNX Runtime libraries (downloaded by the `ort` crate to `~/.cache/ort.pyke.io/`) including provider-specific libraries (like CUDA `.so` files or macOS `.dylib` files).
* It copies these libraries into the final build output directory (`target/release/lib/`).
* It sets the necessary RPATH (`$ORIGIN/lib` on Linux, `@executable_path/lib` on macOS) on the `vectordb-cli` executable.
* This means you typically **do not** need to manually set `LD_LIBRARY_PATH` (Linux) or `DYLD_LIBRARY_PATH` (macOS).
5. **Install Binary (Optional):** Symlink the compiled binary to a location in your `PATH`.
```bash
sudo ln -s $PWD/target/release/vectordb-cli /usr/local/bin
```
## Configuration
`vectordb-cli` uses a hierarchical configuration system:
1. **Command-line Arguments:** Highest priority (e.g., `--onnx-model-path-arg`, `--onnx-tokenizer-dir-arg`).
2. **Environment Variables:** Second priority.
3. **Configuration File (`config.toml`):** Lowest priority.
### Environment Variables
- `QDRANT_URL`: URL of the Qdrant gRPC endpoint (e.g., `http://localhost:6333`). Defaults to `http://localhost:6333` if not set.
- `QDRANT_API_KEY`: API key for Qdrant authentication (optional).
- `VECTORDB_ONNX_MODEL`: Full path to the `.onnx` model file.
- `VECTORDB_ONNX_TOKENIZER_DIR`: Full path to the directory containing the `tokenizer.json` file.
### Configuration File (`config.toml`)
The tool looks for a `config.toml` file in the XDG configuration directory:
* **Linux/macOS:** `~/.config/vectordb-cli/config.toml`
**Example `config.toml`:**
```toml
# URL for the Qdrant gRPC endpoint
qdrant_url = "http://localhost:6334"
# --- Optional: Qdrant API Key ---
# api_key = "your_qdrant_api_key"
# --- Optional: ONNX Model Configuration ---
# These are only needed if not provided via args or env vars.
# Path to the ONNX model file
onnx_model_path = "/path/to/your/model.onnx"
# Path to the directory containing tokenizer.json
# Note: Key name is `onnx_tokenizer_path`
onnx_tokenizer_path = "/path/to/your/tokenizer_directory"
# --- Repository Management ---
# The active repository (used by default for commands like sync, query)
# Set via `repo use <name>`
active_repository = "my-project"
# List of managed repositories
[[repositories]]
name = "my-project"
# Local path where the repository was cloned
local_path = "/home/user/dev/my-project"
# Branches tracked by `repo sync`
tracked_branches = ["main", "develop"]
# The branch currently checked out locally
active_branch = "main" # Updated automatically by `repo use-branch`
# Last commit hash synced for each tracked branch
# Updated automatically by `repo sync`
[repositories.last_synced_commits]
main = "a1b2c3d4e5f6..."
develop = "f6e5d4c3b2a1..."
[[repositories]]
name = "another-repo"
local_path = "/home/user/dev/another-repo"
tracked_branches = ["release-v1"]
active_branch = "release-v1"
[repositories.last_synced_commits]
release-v1 = "deadbeef..."
# ... other repositories ...
```
**Note:** You *must* provide the ONNX model and tokenizer paths via one of these methods (arguments, environment variables, or config file) for commands like `index`, `query`, and `repo sync` to work. The `repositories` section is managed automatically by the `repo` subcommands.
## Usage (CLI)
This section focuses on the `vectordb-cli` command-line tool.
### Global Options
These options can be used with most commands:
- `-m, --onnx-model <PATH>`: Path to the ONNX model file (overrides config & env var).
- `-t, --onnx-tokenizer-dir <PATH>`: Path to the ONNX tokenizer directory (overrides config & env var).
### Simple Indexing (index)
This command indexes code based on directories specified directly, without linking to a specific managed repository. This is the simpler, older method ("default").
```bash
vectordb-cli index <PATHS>... [-e <ext>] [--extension <ext>]
```
- `<PATHS>...`: One or more file or directory paths to index.
- If a directory is provided, it will be indexed recursively.
- `-e <ext>`, `--extension <ext>`: Optional list of file extensions (without the dot) to include (e.g., `-e rs -e py -e md` or `--extension rs --extension py`). If omitted, common code extensions are attempted.
### Repository Management (`repo`)
This subcommand group manages configurations for Git repositories, allowing you to index and query specific branches.
**Important:** Repository management uses *separate* Qdrant collections for each repository (`repo_<repository_name>`), distinct from the collection used by the simple `index` command.
**Common Options:**
- `--repo-name <name>`: Specifies the repository configuration to use (defaults to the `active_repository` in the config).
#### `repo add`
Clones a Git repository locally (if not already present) and adds it to the managed list.
```bash
vectordb-cli repo add <repo-url> [--name <repo-name>] [--branch <branch-name>] [--ssh-key <path>] [--ssh-passphrase <passphrase>]
```
- `<repo-url>`: The URL of the Git repository (HTTPS or SSH).
- `--name`: Optional name for the repository configuration (defaults to the repository name extracted from the URL).
- `--branch`: Optional initial branch to track (defaults to the repository's default branch).
- `--ssh-key`: Path to the SSH private key file for authentication (if using SSH URL).
- `--ssh-passphrase`: Passphrase for the SSH key (if needed).
#### `repo list`
Lists all configured repositories, their URLs, local paths, tracked branches, and detected indexed languages.
```bash
vectordb-cli repo list
```
Output indicates the active repository with a `*`.
```
Managed Repositories:
* my-project (https://github.com/user/my-project.git) -> /home/user/dev/my-project
Default Branch: main
Tracked Branches: ["develop", "main"]
Indexed Languages: rust, markdown
another-repo (https://github.com/user/another.git) -> /home/user/dev/another-repo
Default Branch: main
Tracked Branches: ["main"]
Indexed Languages: python
```
#### `repo use`
Sets a repository as the active one, used by default for commands like `query`, `sync`, `use-branch`.
```bash
vectordb-cli repo use my-cool-project
```
**Arguments:**
- `name`: (Required) The name of the repository configuration to activate.
#### `repo remove`
Removes a repository configuration and optionally deletes its corresponding Qdrant collection.
```bash
# Remove configuration only
vectordb-cli repo remove another
# Remove configuration AND delete Qdrant collection (requires confirmation)
vectordb-cli repo remove another --delete-collection
```
**Arguments:**
- `name`: (Required) The name of the repository configuration to remove.
- `--delete-collection`: If set, deletes the `repo_<name>` collection from Qdrant.
#### `repo use-branch`
Checks out a specific branch in the active repository locally and adds it to the list of tracked branches for syncing.
```bash
# Assuming 'my-cool-project' is the active repo:
# Checkout 'develop' branch and track it
vectordb-cli repo use-branch develop
# Checkout and track a feature branch
vectordb-cli repo use-branch feature/new-thing
```
**Arguments:**
- `name`: (Required) The name of the branch to check out and track. Fetches from `origin` if the branch isn't available locally.
#### `repo sync`
Fetches updates from the `origin` remote for the currently checked-out, tracked branch of the active repository (or specified repository). It calculates the changes since the last sync and updates the Qdrant index accordingly (adding new/modified files, deleting removed/renamed files).
```bash
# Sync the active repository's current branch
vectordb-cli repo sync
# Sync a specific repository (uses its currently checked-out tracked branch)
vectordb-cli repo sync my-cool-project
# Sync only specific file types in the active repository
vectordb-cli repo sync -e rs -e toml
# Force a full re-index of specified file types for the active repository
vectordb-cli repo sync --force -e py
# Sync a specific repo with specific extensions
vectordb-cli repo sync my-cool-project -e go
```
**Arguments:**
- `name` (Optional, Positional): Name of the repository to sync. Defaults to the active repository.
- `-e <ext>`, `--extensions <ext>` (Optional): Specify one or more file extensions (without the dot, comma-separated or multiple flags) to include (e.g., `-e rs,py` or `-e rs -e py`). If omitted, defaults to syncing only extensions with dedicated parsers (see [Supported Languages](#supported-languages)).
- `--force` (Optional): Force a full re-index of the specified files for the branch, ignoring the last synced commit state.
**Note:** Currently only fetches from the configured remote (`origin` by default) and primarily supports SSH key authentication (via `--ssh-key` in `repo add` or system defaults like `ssh-agent`). Support for other credential types (HTTPS tokens, etc.) is planned.
**Manual Testing for SSH:** To test SSH key authentication, try adding a private repository using its SSH URL (`git@...`) and provide the path to your corresponding private key using `--ssh-key`. Ensure your key doesn't require a passphrase for automated testing, or provide it with `--ssh-passphrase` (not recommended for security). Running `repo sync` should then succeed if authentication works.
#### `repo clear`
Clears the index (Qdrant collection `repo_<repo_name>`) for a specific repository without removing the repository configuration or local clone.
```bash
vectordb-cli repo clear [<repo_name>] [-y]
```
- `repo_name` (Optional): The name of the repository index to clear. If omitted, the *active* repository is used.
- `-y`: Confirm deletion without prompting.
**This operation is irreversible.**
### `query`
Performs a semantic search across the indexed data for the active repository, specified repositories, or all repositories.
**Note:** This command is deprecated and may be removed in the future. Use the `simple query` command for the simple index or rely on external tools to query repository-specific Qdrant collections (`repo_<repo_name>`).
```bash
vectordb-cli query "<query text>" [-r <repo_name>...] [--all-repos] [-b <branch>] [-l <limit>] [--lang <language>] [--type <element_type>]
```
- `<query text>`: The natural language query to search for.
- `-r <repo_name>`, `--repo <repo_name>` (Optional): Specify one or more repository names to search within. Conflicts with `--all-repos`.
- `--all-repos` (Optional): Search across all configured repositories. Conflicts with `--repo`.
- `-b <branch>`, `--branch <branch>` (Optional): Filter results by a specific branch name within the target repository/repositories.
- `-l <limit>`, `--limit <limit>` (Optional): Maximum number of results to return (default: 10).
- `--lang <language>` (Optional): Filter results by programming language (e.g., `rust`, `python`).
- `--type <element_type>` (Optional): Filter results by code element type (e.g., `function`, `struct`).
If neither `--repo` nor `--all-repos` is provided, the search defaults to the currently active repository.
Results are displayed with file paths (relative to the repository root for repo searches, absolute for legacy index searches), line numbers, scores, and the relevant code chunk.
### `stats`
Displays statistics about the Qdrant collections.
```bash
vectordb-cli stats [--repo-name <name>]
```
- `--repo-name`: If provided, shows stats only for the specified repository's collection. Otherwise, shows stats for all repository collections and the default index collection.
### `list`
Lists the unique files that have been indexed for the *active repository*.
```bash
vectordb-cli list
```
### `clear`
Deletes the entire simple index collection (`vectordb-code-search`). This does **not** affect repository indices.
```bash
vectordb-cli clear [-y]
```
- `-y`: Confirm deletion without prompting.
## Library (`vectordb_lib`)
This crate also provides the `vectordb_lib` library, which contains the core logic for configuration, code parsing, embedding management, and interacting with the vector database.
While the CLI provides a convenient interface, you can use the library programmatically for more custom integrations.
* **Quickstart Guide:** [docs/library_quickstart.md](./docs/library_quickstart.md)
* **API Documentation:** [https://docs.rs/vectordb-cli](https://docs.rs/vectordb-cli)
See the crate-level documentation within the library (`src/lib.rs`) for a conceptual example and overview of the main components like `EmbeddingHandler`.
**Important Runtime Dependency:**
Users of the `vectordb_lib` library must ensure the ONNX Runtime shared libraries are available when running their application. This is because the library itself does not bundle these dependencies.
Refer to the [ONNX Runtime installation guide](https://onnxruntime.ai/docs/install/) for instructions on how to install the runtime system-wide, or ensure the necessary shared library files (`.so`/`.dylib`/`.dll`) are discoverable via the system's library path (e.g., using `LD_LIBRARY_PATH` on Linux).
## Development
(Include instructions for setting up the dev environment, running tests, etc.)
```bash
# Run tests
cargo test
# Run clippy
cargo clippy --all-targets -- -D warnings
# Format code
cargo fmt
```
## Contributing
(Contribution guidelines)
## License
MIT License