Searchable Video Library

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

# Create video library collection
collection = client.collections.create(
    namespace_id="ns_your_namespace",
    name="video_library",
    extractors=["multimodal-extractor", "text-extractor"],
    params={"video_chunking": "scene-based"}
)

# Upload your video archive
client.buckets.upload(
    bucket_id="bkt_videos",
    url="s3://your-bucket/video-archive/"
)

# Build a search retriever
retriever = client.retrievers.create(
    namespace_id="ns_your_namespace",
    name="video_library_search",
    collection_ids=["col_video_library"],
    stages=[
        {"type": "feature_search", "top_k": 50},
        {"type": "rerank", "top_k": 10}
    ]
)

# Search for specific moments
results = client.retrievers.execute(
    retriever_id=retriever["retriever_id"],
    query={"text": "product roadmap presentation Q3 goals"}
)

for doc in results["results"]:
    print(f"Video: {doc['root_object_id']}")
    print(f"  Timestamp: {doc['start_time']:.1f}s - {doc['end_time']:.1f}s")
    print(f"  Transcript: {doc['text'][:100]}...")