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license: mit
tags:
- movies
- embeddings
- rag
- chromadb
- sentence-transformers
size_categories:
- 1K<n<10K
---
# Movie Embeddings RAG Dataset
This dataset contains movie embeddings for Retrieval-Augmented Generation (RAG) in a movie recommendation chatbot.
## Dataset Information
- **Total Movies:** 7733
- **Date Range:** Unknown - Unknown
- **Last Updated:** 2025-11-26
- **Embedding Model:** sentence-transformers/all-MiniLM-L6-v2
- **Embedding Dimension:** 384
## Files
- `chroma.sqlite3.gz` - Compressed ChromaDB database with embeddings
- `movies.json.gz` - Compressed movie metadata (title, overview, cast, crew, etc.)
- `metadata.json` - Dataset statistics and version info
## Top Genres
- Drama: 3940 movies
- Comedy: 2441 movies
- Thriller: 1150 movies
- Crime: 1138 movies
- Animation: 933 movies
## Usage
### Download and Extract
```python
from huggingface_hub import hf_hub_download
import gzip
import shutil
# Download compressed database
db_path = hf_hub_download(
repo_id="YOUR_USERNAME/movie-embeddings-rag",
filename="chroma.sqlite3.gz",
repo_type="dataset"
)
# Decompress
with gzip.open(db_path, 'rb') as f_in:
with open('chroma.sqlite3', 'wb') as f_out:
shutil.copyfileobj(f_in, f_out)
```
### Use with ChromaDB
```python
import chromadb
client = chromadb.PersistentClient(path="./chroma_db")
collection = client.get_collection("movies")
# Search for movies
results = collection.query(
query_texts=["science fiction movie about space"],
n_results=5
)
```
## Automated Updates
This dataset is automatically updated monthly via GitHub Actions with new movie releases.
## License
MIT License - Free to use for any purpose.
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