kandi background
Explore Kits

milvus | Vector database for scalable similarity search | Search Engine library

 by   milvus-io Go Version: v2.2-testing-20230202 License: Apache-2.0

 by   milvus-io Go Version: v2.2-testing-20230202 License: Apache-2.0

kandi X-RAY | milvus Summary

milvus is a Go library typically used in Database, Search Engine applications. milvus has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • milvus has a medium active ecosystem.
  • It has 14867 star(s) with 1941 fork(s). There are 307 watchers for this library.
  • There were 10 major release(s) in the last 6 months.
  • There are 259 open issues and 6670 have been closed. On average issues are closed in 35 days. There are 32 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of milvus is v2.2-testing-20230202
milvus Support
Best in #Search Engine
Average in #Search Engine
milvus Support
Best in #Search Engine
Average in #Search Engine

quality kandi Quality

  • milvus has 0 bugs and 0 code smells.
milvus Quality
Best in #Search Engine
Average in #Search Engine
milvus Quality
Best in #Search Engine
Average in #Search Engine

securitySecurity

  • milvus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • milvus code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
milvus Security
Best in #Search Engine
Average in #Search Engine
milvus Security
Best in #Search Engine
Average in #Search Engine

license License

  • milvus is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
milvus License
Best in #Search Engine
Average in #Search Engine
milvus License
Best in #Search Engine
Average in #Search Engine

buildReuse

  • milvus releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
milvus Reuse
Best in #Search Engine
Average in #Search Engine
milvus Reuse
Best in #Search Engine
Average in #Search Engine
Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample Here

Get all kandi verified functions for this library.

Get all kandi verified functions for this library.

milvus Key Features

Vector database for scalable similarity search and AI applications.

milvus Examples and Code Snippets

Community Discussions

Trending Discussions on milvus
  • ModuleNotFoundError: No module named 'milvus'
  • When I start Milvus Cluster by helm, I encounter this error "0/4 nodes are available: 4 node(s) didn't satisfy existing pods anti-affinity rules."
  • I am not able to install Mlivus standalone through Helm
  • A question about the Milvus docker installation port
  • A question about Milvus distance calculation
  • How can milvus release deleted collection in memory?
  • ubuntu16.04 system keeps reporting errors when installing milvus CPU version
  • On error VBA line activities where there is not an error
  • Milvus : train and search on separte machines
  • Milvus : where to store the "id to data" relation?
Trending Discussions on milvus

QUESTION

ModuleNotFoundError: No module named 'milvus'

Asked 2022-Feb-15 at 19:23

Goal: to run this Auto Labelling Notebook on AWS SageMaker Jupyter Labs.

Kernels tried: conda_pytorch_p36, conda_python3, conda_amazonei_mxnet_p27.


! pip install farm-haystack -q
# Install the latest master of Haystack
!pip install grpcio-tools==1.34.1 -q
!pip install git+https://github.com/deepset-ai/haystack.git -q
!wget --no-check-certificate https://dl.xpdfreader.com/xpdf-tools-linux-4.03.tar.gz
!tar -xvf xpdf-tools-linux-4.03.tar.gz && sudo cp xpdf-tools-linux-4.03/bin64/pdftotext /usr/local/bin
!pip install git+https://github.com/deepset-ai/haystack.git -q
# Here are the imports we need
from haystack.document_stores.elasticsearch import ElasticsearchDocumentStore
from haystack.nodes import PreProcessor, TransformersDocumentClassifier, FARMReader, ElasticsearchRetriever
from haystack.schema import Document
from haystack.utils import convert_files_to_dicts, fetch_archive_from_http, print_answers

Traceback:

02/02/2022 10:36:29 - INFO - faiss.loader -   Loading faiss with AVX2 support.
02/02/2022 10:36:29 - INFO - faiss.loader -   Could not load library with AVX2 support due to:
ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'",)
02/02/2022 10:36:29 - INFO - faiss.loader -   Loading faiss.
02/02/2022 10:36:29 - INFO - faiss.loader -   Successfully loaded faiss.
02/02/2022 10:36:33 - INFO - farm.modeling.prediction_head -   Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex .
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-4-6ff421127e9c> in <module>
      1 # Here are the imports we need
----> 2 from haystack.document_stores.elasticsearch import ElasticsearchDocumentStore
      3 from haystack.nodes import PreProcessor, TransformersDocumentClassifier, FARMReader, ElasticsearchRetriever
      4 from haystack.schema import Document
      5 from haystack.utils import convert_files_to_dicts, fetch_archive_from_http, print_answers

~/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/haystack/__init__.py in <module>
      3 import pandas as pd
      4 from haystack.schema import Document, Label, MultiLabel, BaseComponent
----> 5 from haystack.finder import Finder
      6 from haystack.pipeline import Pipeline
      7 

~/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/haystack/finder.py in <module>
      6 from collections import defaultdict
      7 
----> 8 from haystack.reader.base import BaseReader
      9 from haystack.retriever.base import BaseRetriever
     10 from haystack import MultiLabel

~/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/haystack/reader/__init__.py in <module>
----> 1 from haystack.reader.farm import FARMReader
      2 from haystack.reader.transformers import TransformersReader

~/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/haystack/reader/farm.py in <module>
     22 
     23 from haystack import Document
---> 24 from haystack.document_store.base import BaseDocumentStore
     25 from haystack.reader.base import BaseReader
     26 

~/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/haystack/document_store/__init__.py in <module>
      2 from haystack.document_store.faiss import FAISSDocumentStore
      3 from haystack.document_store.memory import InMemoryDocumentStore
----> 4 from haystack.document_store.milvus import MilvusDocumentStore
      5 from haystack.document_store.sql import SQLDocumentStore

~/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/haystack/document_store/milvus.py in <module>
      5 import numpy as np
      6 
----> 7 from milvus import IndexType, MetricType, Milvus, Status
      8 from scipy.special import expit
      9 from tqdm import tqdm

ModuleNotFoundError: No module named 'milvus'

pip install milvus
import milvus

Traceback:

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-3-91c33e248077> in <module>
----> 1 import milvus

ModuleNotFoundError: No module named 'milvus'

ANSWER

Answered 2022-Feb-03 at 09:29

I would recommend to downgrade your milvus version to a version before the 2.0 release just a week ago. Here is a discussion on that topic: https://github.com/deepset-ai/haystack/issues/2081

Source https://stackoverflow.com/questions/70954157

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install milvus

Standalone Quick Start Guide
Cluster Quick Start Guide
Advanced Deployment
Check the requirements first.

Support

Contributions to Milvus are welcome from everyone. See Guidelines for Contributing for details on submitting patches and the contribution workflow. See our community repository to learn about our governance and access more community resources.

Find more information at:

Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 650 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases
Explore Kits

Save this library and start creating your kit

Clone
  • https://github.com/milvus-io/milvus.git

  • gh repo clone milvus-io/milvus

  • git@github.com:milvus-io/milvus.git

Share this Page

share link

See Similar Libraries in

Reuse Pre-built Kits with milvus
Consider Popular Search Engine Libraries
Try Top Libraries by milvus-io
Compare Search Engine Libraries with Highest Support
Compare Search Engine Libraries with Highest Quality
Compare Search Engine Libraries with Highest Security
Compare Search Engine Libraries with Permissive License
Compare Search Engine Libraries with Highest Reuse
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 650 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases
Explore Kits

Save this library and start creating your kit