Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
- deep-learning
- document-parsing
- machine-learning
- nlp
Graph-Native Infrastructure for Context and Accountable AI Systems
- ai
- ai-governance
- artificial-intelligence
- context-engineering
Incremental engine for long horizon agents 🌟 Star if you like it!
- ai
- change-data-capture
- data-indexing
- etl
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
- data-integration
- high-performance
- offline
- real-time
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
- ai-agents
- data-engineering
- document-ai
- generative-ai
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Neo4j graph construction from unstructured data using LLMs
- data-import
- genai
- graph
- graph-rag
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
- rag
- chonkie
- chunker
- chunking-algorithm
A system for agentic LLM-powered data processing and ETL
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
Scalable and efficient data transformation framework - backwards compatible with dbt.
A decision-model-based ontology & knowledge-graph builder — builds governed knowledge graphs from your documents, every fact gated and traceable to its evidence.
- graphrag
- information-extraction
- knowledge-graph
- llm
Reverse ETL for the code-first data stack
- bigquery
- cli
- data-engineering
- dbt