Why Memvid?

# What did we know about the budget last week?
results = mem.find("budget", as_of_timestamp=1704067200)

# What was in the knowledge base before we added the Q4 report?
results = mem.find("revenue", as_of_frame=100)

from memvid_sdk.clip import get_clip_provider

clip = get_clip_provider('local')  # No API keys needed
embedding = clip.embed_text("pie chart showing market share")

# Find visually similar content
results = mem.visual_search(embedding, k=10)

from memvid_sdk.entities import get_entity_extractor

ner = get_entity_extractor('openai', entity_types=['PERSON', 'COMPANY', 'PRODUCT'])
entities = ner.extract(document_text)

# Traverse the entity graph
related = mem.follow("Microsoft", link="acquired", hops=2)

answer = mem.ask("What was our Q4 revenue?")

print(answer["answer"])              # "Q4 revenue was $2.4M, up 15% YoY..."
print(answer.get("sources", [])[:1]) # [{"title": "...", "uri": "...", ...}]

# Even if power fails here...
mem.put(title="Important", text="Critical data...")

# ...the data is recoverable on next open
mem = use('basic', 'knowledge.mv2')  # Auto-recovers uncommitted writes