App Templates
Pick one and run the app with your own data, in minutes.
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Question-Answering RAG App
Basic end-to-end RAG app. A question-answering pipeline that uses the GPT model of choice to provide answers to queries to your documents (PDF, DOCX,...) on a live connected data source (files, Google Drive, Sharepoint,...).
Basic end-to-end RAG app. A question-answering pipeline that uses the GPT model of choice to provide answers to queries to your documents (PDF, DOCX,...) on a live connected data source (files, Google Drive, Sharepoint,...).
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Langchain and Pathway: RAG Apps with always-up-to-date knowledge
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Multimodal RAG with Gemini
End-to-end template showing how you can launch a document processing RAG pipeline that utilizes Gemini and Pathway
End-to-end template showing how you can launch a document processing RAG pipeline that utilizes Gemini and Pathway
Dynamic Enterprise RAG with SharePoint
This article presents Dynamic Enterprise RAG application that integrates with Microsoft SharePoint as a data source
This article presents Dynamic Enterprise RAG application that integrates with Microsoft SharePoint as a data source
Private RAG App with Mistral and Ollama
A fully private (local) version of the 'demo-question-answering' RAG pipeline using Pathway, Mistral, and Ollama.
A fully private (local) version of the 'demo-question-answering' RAG pipeline using Pathway, Mistral, and Ollama.
Adaptive RAG App
A RAG application using Adaptive RAG, a technique developed by Pathway to reduce token cost in RAG up to 4x while maintaining accuracy.
A RAG application using Adaptive RAG, a technique developed by Pathway to reduce token cost in RAG up to 4x while maintaining accuracy.
LlamaIndex and Pathway: RAG Apps with always-up-to-date knowledge
Pathway is now available in LlamaIndex as Reader and Retriever
Pathway is now available in LlamaIndex as Reader and Retriever
Multimodal RAG pipeline with GPT4o
Multimodal RAG using GPT-4o in the parsing stage to index PDFs and other documents from a connected data source files, Google Drive, Sharepoint,...). It is perfect for extracting information from unstructured financial documents in your folders (including charts and tables), updating results as documents change or new ones arrive.
Multimodal RAG using GPT-4o in the parsing stage to index PDFs and other documents from a connected data source files, Google Drive, Sharepoint,...). It is perfect for extracting information from unstructured financial documents in your folders (including charts and tables), updating results as documents change or new ones arrive.
Live Document Indexing (Vector Store / Retriever)
A real-time document indexing pipeline for RAG that acts as a vector store service. It performs live indexing on your documents (PDF, DOCX,...) from a connected data source (files, Google Drive, Sharepoint,...). It can be used with any frontend, or integrated as a retriever backend for a Langchain or Llamaindex application.
A real-time document indexing pipeline for RAG that acts as a vector store service. It performs live indexing on your documents (PDF, DOCX,...) from a connected data source (files, Google Drive, Sharepoint,...). It can be used with any frontend, or integrated as a retriever backend for a Langchain or Llamaindex application.
Pathway + PostgreSQL + LLM: app for querying financial reports with live document structuring pipeline.
A RAG example which connects to unstructured financial data sources (financial report PDFs), structures the data into SQL, and loads it into a PostgreSQL table. It also answers natural language user queries to these financial documents by translating them into SQL using an LLM and executing the query on the PostgreSQL table.
A RAG example which connects to unstructured financial data sources (financial report PDFs), structures the data into SQL, and loads it into a PostgreSQL table. It also answers natural language user queries to these financial documents by translating them into SQL using an LLM and executing the query on the PostgreSQL table.
Kafka ETL: Processing event streams in Python
Learn how to build a Kafka ETL pipeline in Python with Pathway and process event streams in real-time.
Learn how to build a Kafka ETL pipeline in Python with Pathway and process event streams in real-time.
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Jupyter / Colab: visualizing and transforming live data streams in Python notebooks with Pathway
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Kafka alternative: Stream processing in Python with Pathway, Delta Lake and MinIO
If you're searching for Kafka alternatives, this article explains how to use Pathway and MinIO+Delta Tables for a simple real-time processing pipeline without using the Confluent stack.
If you're searching for Kafka alternatives, this article explains how to use Pathway and MinIO+Delta Tables for a simple real-time processing pipeline without using the Confluent stack.
Computing the Option Greeks using Pathway and Databento
Computing the Option Greeks using Pathway and Databento, in the Black Model
Computing the Option Greeks using Pathway and Databento, in the Black Model
Delta Lake ETL with Pathway for Spark Analytics
How to use Pathway to prepare unstructured data for Spark analytics
How to use Pathway to prepare unstructured data for Spark analytics
Streaming ETL pipelines in Python with Airbyte and Pathway
How to use Pathway for Airbyte sources.
Smart real-time monitoring application with alert deduplication
Event stream processing
Realtime Server Log Monitoring: nginx + Filebeat + Pathway
Monitor your server logs in real time with Pathway
Uncovering hidden user relationships in crypto exchanges with Fuzzy Join on streaming data
An example of a cryptocurrency exchange
Linear regression on a Kafka stream
Out-of-Order Event Streams: Calculating Time Deltas with grouping by topic
Event stream processing
Interaction with a Feedback Loop.
Article introducing Fuzzy Join.
Automating reconciliation of messy financial transaction logs using Pathway's real-time fuzzy join
Article introducing Fuzzy Join.
Real-Time Anomaly Detection: identifying brute-force logins using Tumbling Windows
Detecting suspicious login attempts
Real-Time PageRank on Dynamic Graphs with Pathway
Demonstration of a PageRank computation
Real-Time Shortest Paths on Dynamic Networks with Bellman-Ford in Pathway
Article explaining step-by-step how to implement the Bellman-Ford algorithm in Pathway.
Article explaining step-by-step how to implement the Bellman-Ford algorithm in Pathway.
Real-Time Twitter Sentiment Analysis and Prediction App with Pathway
Pathway Twitter showcase
Pathway Logistics Application: Streamlined Insights for Real-Time Asset Management
Pathway Logistics Showcase
Adaptive Classifiers: Evolving Predictions with Real-Time Data
Pathway Showcase: kNN+LSH classifier
Signal Processing with Real-time Upsampling: combining multiple time series data streams.
Tutorial on signal processing: how to do upsampling with Pathway using windowby and intervals_over
Tutorial on signal processing: how to do upsampling with Pathway using windowby and intervals_over
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Gaussian Filtering in Real-time: Signal processing with out-of-order data streams
Tutorial on signal processing: how to apply a Gaussian filter with Pathway using windowby and intervals_over
Tutorial on signal processing: how to apply a Gaussian filter with Pathway using windowby and intervals_over
Sensor Fusion in real-time: combining time series data with Pathway
Learn how to combine between two time series with different timestamps in Pathway.
Learn how to combine between two time series with different timestamps in Pathway.