Merge pull request #55 from ggozad/feat/vacuum

Vacuum operation, optimise and remove old lanceDB versions
This commit is contained in:
Yiorgis Gozadinos 2025-09-10 13:37:51 +03:00 committed by GitHub
commit 945e214aa4
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
11 changed files with 145 additions and 67 deletions

View file

@ -2,22 +2,17 @@
The `haiku-rag` CLI provides complete document management functionality.
## Shell Autocompletion
!!! note
All commands support:
Enable shell autocompletion for faster, errorfree usage.
- `--db` - Specify custom database path
- `-h` - Show help for specific command
- Temporary (current shell only):
```bash
eval "$(haiku-rag --show-completion)"
```
- Permanent installation:
```bash
haiku-rag --install-completion
```
Whats completed:
- `get` and `delete`/`rm`: Document IDs from the selected database (respects `--db`).
- `add-src`: Local filesystem paths (URLs can still be typed manually).
Example:
```bash
haiku-rag list --db /path/to/custom.db
haiku-rag add -h
```
## Document Management
@ -40,6 +35,10 @@ haiku-rag add-src /path/to/document.pdf
haiku-rag add-src https://example.com/article.html
```
!!! note
As you add documents to `haiku.rag` the database keeps growing. By default, `lanceDB` supports versioning
of your data. You can optimize and compact the database by running the [vaccum](#vacuum-optimize-and-cleanup) command.
### Get Document
```bash
@ -55,33 +54,8 @@ haiku-rag delete <TAB>
haiku-rag rm <TAB> # alias
```
### Rebuild Database
Rebuild the database by deleting all chunks & embeddings and re-indexing all documents:
```bash
haiku-rag rebuild
```
Use this when you want to change things like the embedding model or chunk size for example.
## Migration
### Migrate from SQLite to LanceDB
Migrate an existing SQLite database to LanceDB:
```bash
haiku-rag migrate /path/to/old_database.sqlite
```
This will:
- Read all documents, chunks, embeddings, and settings from the SQLite database
- Create a new LanceDB database with the same data in the same directory
- Optimize the new database for best performance
The original SQLite database remains unchanged, so you can safely migrate without risk of data loss.
## Search
Basic search:
@ -108,13 +82,6 @@ haiku-rag ask "Who is the author of haiku.rag?" --cite
The QA agent will search your documents for relevant information and provide a comprehensive answer. With `--cite`, responses include citations showing which documents were used.
## Configuration
View current configuration settings:
```bash
haiku-rag settings
```
## Server
Start the MCP server:
@ -129,14 +96,62 @@ haiku-rag serve --stdio
haiku-rag serve --sse
```
## Options
## Settings
All commands support:
- `--db` - Specify custom database path
- `-h` - Show help for specific command
Example:
View current configuration settings:
```bash
haiku-rag list --db /path/to/custom.db
haiku-rag add -h
haiku-rag settings
```
## Maintenance
### Vacuum (Optimize and Cleanup)
Reduce disk usage by optimizing and pruning old table versions across all tables:
```bash
haiku-rag vacuum
```
### Rebuild Database
Rebuild the database by deleting all chunks & embeddings and re-indexing all documents. This is useful
when want to switch embeddings provider or model:
```bash
haiku-rag rebuild
```
## Migration
### Migrate from SQLite to LanceDB
Migrate an existing SQLite database to LanceDB:
```bash
haiku-rag migrate /path/to/old_database.sqlite
```
This will:
- Read all documents, chunks, embeddings, and settings from the SQLite database
- Create a new LanceDB database with the same data in the same directory
- Optimize the new database for best performance
The original SQLite database remains unchanged, so you can safely migrate without risk of data loss.
## Shell Autocompletion
Enable shell autocompletion for faster, errorfree usage.
- Temporary (current shell only):
```bash
eval "$(haiku-rag --show-completion)"
```
- Permanent installation:
```bash
haiku-rag --install-completion
```
Whats completed:
- `get` and `delete`/`rm`: Document IDs from the selected database (respects `--db`).
- `add-src`: Local filesystem paths (URLs can still be typed manually).

View file

@ -52,7 +52,6 @@ haiku-rag migrate old_database.sqlite # Migrate from SQLite
- [Installation](installation.md) - Install haiku.rag with different providers
- [Configuration](configuration.md) - Environment variables and settings
- [CLI](cli.md) - Command line interface usage
- [Question Answering](qa.md) - QA agents and natural language queries
- [Server](server.md) - File monitoring and server mode
- [MCP](mcp.md) - Model Context Protocol integration
- [Python](python.md) - Python API reference

View file

@ -99,6 +99,16 @@ async for doc_id in client.rebuild_database():
print(f"Processed document {doc_id}")
```
## Maintenance
Run maintenance to optimize storage and prune old table versions:
```python
await client.vacuum()
```
This compacts tables and removes historical versions to keep disk usage in check. Its safe to run anytime, for example after bulk imports or periodically in longrunning apps.
## Searching Documents
The search method performs native hybrid search (vector + full-text) using LanceDB with optional reranking for improved relevance:

View file

@ -102,6 +102,15 @@ class HaikuRAGApp:
except Exception as e:
self.console.print(f"[red]Error rebuilding database: {e}[/red]")
async def vacuum(self):
"""Run database maintenance: optimize and cleanup table history."""
try:
async with HaikuRAG(db_path=self.db_path, skip_validation=True) as client:
await client.vacuum()
self.console.print("[b]Vacuum completed successfully.[/b]")
except Exception as e:
self.console.print(f"[red]Error during vacuum: {e}[/red]")
def show_settings(self):
"""Display current configuration settings."""
self.console.print("[bold]haiku.rag configuration[/bold]")

View file

@ -256,6 +256,18 @@ def rebuild(
asyncio.run(app.rebuild())
@cli.command("vacuum", help="Optimize and clean up all tables to reduce disk usage")
def vacuum(
db: Path = typer.Option(
Config.DEFAULT_DATA_DIR / "haiku.rag.lancedb",
"--db",
help="Path to the LanceDB database file",
),
):
app = HaikuRAGApp(db_path=db)
asyncio.run(app.vacuum())
@cli.command(
"serve", help="Start the haiku.rag MCP server (by default in streamable HTTP mode)"
)

View file

@ -550,6 +550,16 @@ class HaikuRAG:
)
yield doc.id
# Final maintenance: centralized vacuum to curb disk usage
try:
self.store.vacuum()
except Exception:
pass
async def vacuum(self) -> None:
"""Optimize and clean up old versions across all tables."""
self.store.vacuum()
def close(self):
"""Close the underlying store connection."""
self.store.close()

View file

@ -1,4 +1,5 @@
import logging
import warnings
from rich.console import Console
from rich.logging import RichHandler
@ -50,4 +51,6 @@ def configure_cli_logging(level: int = logging.INFO) -> logging.Logger:
logger = get_logger()
logger.setLevel(level)
logger.propagate = False
warnings.filterwarnings("ignore")
return logger

View file

@ -47,7 +47,7 @@ class SQLiteToLanceDBMigrator:
# Load the sqlite-vec extension
try:
import sqlite_vec
import sqlite_vec # type: ignore
sqlite_conn.enable_load_extension(True)
sqlite_vec.load(sqlite_conn)
@ -91,10 +91,10 @@ class SQLiteToLanceDBMigrator:
sqlite_conn.close()
# Optimize the chunks table after migration
# Optimize and cleanup using centralized vacuum
self.console.print("[blue]Optimizing LanceDB...[/blue]")
try:
lance_store.chunks_table.optimize()
lance_store.vacuum()
self.console.print("[green]✅ Optimization completed[/green]")
except Exception as e:
self.console.print(

View file

@ -1,5 +1,6 @@
import json
import logging
from datetime import timedelta
from importlib import metadata
from pathlib import Path
from uuid import uuid4
@ -62,6 +63,15 @@ class Store:
if not skip_validation:
self._validate_configuration()
def vacuum(self) -> None:
"""Optimize and clean up old versions across all tables to reduce disk usage."""
if self._has_cloud_config() and str(Config.LANCEDB_URI).startswith("db://"):
return
# Perform maintenance per table using optimize() with cleanup_older_than 0
for table in [self.documents_table, self.chunks_table, self.settings_table]:
table.optimize(cleanup_older_than=timedelta(0))
def _connect_to_lancedb(self, db_path: Path):
"""Establish connection to LanceDB (local, cloud, or object storage)."""
# Check if we have cloud configuration
@ -159,16 +169,18 @@ class Store:
self.settings_table.search().limit(1).to_pydantic(SettingsRecord)
)
if settings_records:
settings = (
# Only write if version actually changes to avoid creating new table versions
current = (
json.loads(settings_records[0].settings)
if settings_records[0].settings
else {}
)
settings["version"] = version
# Update the record
self.settings_table.update(
where="id = 'settings'", values={"settings": json.dumps(settings)}
)
if current.get("version") != version:
current["version"] = version
self.settings_table.update(
where="id = 'settings'",
values={"settings": json.dumps(current)},
)
else:
# Create new settings record
settings_data = Config.model_dump(mode="json")

View file

@ -84,10 +84,15 @@ class SettingsRepository:
)
if existing:
# Update existing settings
self.store.settings_table.update(
where="id = 'settings'", values={"settings": json.dumps(current_config)}
# Only update when configuration actually changed to avoid needless new versions
existing_payload = (
json.loads(existing[0].settings) if existing[0].settings else {}
)
if existing_payload != current_config:
self.store.settings_table.update(
where="id = 'settings'",
values={"settings": json.dumps(current_config)},
)
else:
# Create new settings
settings_record = SettingsRecord(

View file

@ -8,8 +8,10 @@ from rich.progress import Progress
from haiku.rag import logging # noqa
from haiku.rag.client import HaikuRAG
from haiku.rag.logging import configure_cli_logging
from haiku.rag.qa import get_qa_agent
configure_cli_logging()
console = Console()
db_path = Path(__file__).parent / "data" / "benchmark.lancedb"
@ -35,6 +37,7 @@ async def populate_db():
uri=uri,
)
progress.advance(task)
rag.store.vacuum()
async def run_match_benchmark():