Open-Source GPT-4 Platform for Markdown

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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.
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  • markprompt

    Discontinued AI for customer support

  • I filed an issue a few hours ago. https://github.com/motifland/markprompt/issues/5 (for asciidoc)

  • semantic-kernel

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

  • A lot of similar projects

    - https://github.com/microsoft/semantic-kernel/tree/main/sampl...

    - https://www.producthunt.com/posts/gitterbot-io-conversationa...

    - https://github.com/neuml/txtai/blob/master/examples/03_Build...

    - https://github.com/openai/openai-cookbook/blob/main/examples...

  • 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.

    InfluxDB logo
  • txtai

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

  • A lot of similar projects

    - https://github.com/microsoft/semantic-kernel/tree/main/sampl...

    - https://www.producthunt.com/posts/gitterbot-io-conversationa...

    - https://github.com/neuml/txtai/blob/master/examples/03_Build...

    - https://github.com/openai/openai-cookbook/blob/main/examples...

  • openai-cookbook

    Examples and guides for using the OpenAI API

  • A lot of similar projects

    - https://github.com/microsoft/semantic-kernel/tree/main/sampl...

    - https://www.producthunt.com/posts/gitterbot-io-conversationa...

    - https://github.com/neuml/txtai/blob/master/examples/03_Build...

    - https://github.com/openai/openai-cookbook/blob/main/examples...

  • vectordb-benchmark

  • 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

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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