Documentation Index Fetch the complete documentation index at: https://docs.memv.ai/llms.txt
Use this file to discover all available pages before exploring further.
Upload documents, images, videos, audio, and other content to Mem[v] for automatic memory extraction.
Upload files
Python
TypeScript (Node.js)
from memvai import Memv
client = Memv()
# Upload a file
with open ( "document.pdf" , "rb" ) as file :
response = client.upload.batch.create(
space_id = "space_abc123" ,
files = [ file ]
)
print ( f "Batch ID: { response.batch_id } " )
Upload multiple files
# Upload multiple files
file_paths = [ "doc1.pdf" , "doc2.txt" , "image.png" ]
files = [ open (path, "rb" ) for path in file_paths]
try :
response = client.upload.batch.create(
space_id = "space_abc123" ,
files = files
)
print ( f "Uploaded { len (files) } files - Batch ID: { response.batch_id } " )
finally :
for file in files:
file .close()
Supported file types
PDF, Word, Text, Markdown, Rich Text
Excel, CSV, Google Sheets
PowerPoint, Google Slides
JPEG, PNG, GIF, WebP
MP4, WebM, MOV, AVI
MP3, WAV, OGG, M4A
Monitor upload progress
import time
# Upload file
with open ( "large_video.mp4" , "rb" ) as file :
response = client.upload.batch.create(
space_id = "space_abc123" ,
files = [ file ]
)
batch_id = response.batch_id
# Poll for completion
while True :
status = client.upload.batch.get_status( batch_id = batch_id)
print ( f "Status: { status.status } " )
print ( f "Progress: { status.processed_files } / { status.total_files } " )
if status.status == "completed" :
print ( "Processing complete!" )
break
elif status.status == "failed" :
print ( "Processing failed" )
break
time.sleep( 2 ) # Check every 2 seconds
List files
# List all files in a space
response = client.files.list( space_id = "space_abc123" )
for file in response.files:
print ( f " { file .name } - { file .size } bytes" )
print ( f " Type: { file .mime_type } " )
print ( f " Status: { file .processing_status } " )
Download files
Python
TypeScript (Node.js)
# Download a file
response = client.files.download(
file_id = "file_xyz789" ,
space_id = "space_abc123"
)
# Save to disk
with open ( "downloaded_file.pdf" , "wb" ) as f:
f.write(response.content)
Delete files
# Delete a file
response = client.files.delete(
file_id = "file_xyz789" ,
space_id = "space_abc123"
)
if response.success:
print ( "File deleted successfully" )
Next steps
Videos Work with video files
Memories Search extracted memories