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llm-app discussion
llm-app reviews and mentions
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AI for ESG Reporting Using Real-Time RAG and Live Data Streams
🔗 Tooling: • Pathway GitHub • Ollama LLM Runner • Streamlit Docs
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Show HN: Private RAG with Mistral, Ollama and Pathway
We’re excited to share our fully local RAG setup, which has received great feedback from the community.
Full app: https://github.com/pathwaycom/llm-app/tree/main/examples/pip...
We also feature tools and parsers for various RAG use cases, including document parsing with local vision LMs and some other cool stuff.
- Show HN: Multimodal Search Using GPT4o for Metadata Extraction and Hybrid Index
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How to use LLMs for real-time alerting
Answering queries and defining alerts: Our application running on Pathway LLM-App exposes the HTTP REST API endpoint to send queries and receive real-time responses. It is used by the Streamlit UI app. Queries are answered by looking up relevant documents in the index, as in the Retrieval-augmented generation (RAG) implementation. Next, queries are categorized for intent: an LLM probes them for natural language commands synonymous with notify or send an alert.
- Open Source Project showcasing Real-time intent detection + alerting via LLMs using Pathway LLM App and Streamlit, both open-source Pythonic frameworks. Can be used in LLMOps for monitoring, PII detection, and in BizOps to notify teams of critical changes by others in their documents.
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Show HN: Alerting in realtime RAG: spot changes to LLM answers, using few tokens
(used in https://github.com/pathwaycom/llm-app/blob/69709a2cf58cdf6ea...)
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How to build a custom GPT enabled full-stack app for real-time data
In this case, you need to build a custom LLM (Language Learning Model) app efficiently to give context to the answer process. A promising approach you find on the internet is utilizing LLMs with vector databases that come with costs like increased prep work, infrastructure, and complexity. Keeping source and vectors in sync is painful. Instead, you can use an open-source LLM App library in Python to implement real-time in-memory data indexing directly reading data from any compatible storage and showing this data on Streamlit UI.
- Python library to build LLM App
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Privacy-preserving LLM App for real-time data
🔗 - Here's the repo link: https://github.com/pathwaycom/llm-app.
- LLM (Large Language Model) App is an innovative AI Chat Bot
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A note from our sponsor - CodeRabbit
coderabbit.ai | 22 Apr 2025
Stats
pathwaycom/llm-app is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of llm-app is Jupyter Notebook.