vectordb-benchmark VS markprompt

Compare vectordb-benchmark vs markprompt and see what are their differences.

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
vectordb-benchmark markprompt
1 9
18 2,188
- -
10.0 10.0
12 months ago 6 months ago
Python TypeScript
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

vectordb-benchmark

Posts with mentions or reviews of vectordb-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.
  • Open-Source GPT-4 Platform for Markdown
    6 projects | news.ycombinator.com | 25 Mar 2023
    If you have a small number of fixed documents e.g. <100k or so, then I agree that pickling the vectors or storing them as bytearrays would work better.

    Once you reach a certain scale, it's helpful to potentially use distributed querying and/or different index types, even if you have a fairly static dataset. You can check out a billion-scale search benchmark we recently did here: https://zilliz.com/resources/milvus-performance-benchmark (you'll need to supply your email unfortunately). Here's the framework we used as well: https://github.com/zilliztech/vectordb-benchmark

markprompt

Posts with mentions or reviews of markprompt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.

What are some alternatives?

When comparing vectordb-benchmark and markprompt you can also consider the following projects:

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

vscode-markdoc - VSCode extension for Markdoc syntax highlighting and language support

openai-cookbook - Examples and guides for using the OpenAI API

julia-sanfrancisco - A clone of the game "Where in the World is Carmen Sandiego?" largely re-created with generative AI.

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured