Show HN: LLM App – build a realtime LLM app in 30 lines, with no vector database

• llm-app

  12 2,501 8.9 Python

  LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.

  

To quickly get to the application sources please go to:

- https://github.com/pathwaycom/llm-app/blob/main/llm_app/path... for the simplest contextless app

- https://github.com/pathwaycom/llm-app/blob/main/llm_app/path... for the default app that builds a reactive index of context documents

- https://github.com/pathwaycom/llm-app/blob/main/llm_app/path... for the contextful app reading data from s3

- https://github.com/pathwaycom/llm-app/blob/main/llm_app/path... for the app using locally available models

• pathway

  3 1,733 9.6 Python

  Pathway is a high-throughput, low-latency data processing framework that handles live data & streaming for you. Made with ❤️ for Python & ML/AI developers.

  

Pathway (https://github.com/pathwaycom/pathway) is a data processing framework we are developing that unifies stream and batch processing of large datasets. It lets developers concentrate on writing the data processing logic, without worrying about tracking changes to data and updating the results. The same code can then be run on batch data (e.g. during testing) or on real-time data streams (i.e. online query processing)

In the LLM app, Pathway allows concentrating on prompt building and querying the LLM APIs as if the corpus of documents were static, while all updates to it are handled by the framework itself.

• InfluxDB

  www.influxdata.com featured

  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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