Patterns and techniques for indexing data with CocoIndex.
Why the next wave of AI needs open-source, scalable, AI-native data infrastructure, and how CocoIndex is building the foundation for intelligent data pipelines.
Read data from any system with CocoIndex: in v1 a custom source is plain async Python plus processing components. No connector API to implement.
CocoIndex sets up Qdrant collections automatically by inferring the target schema from your indexing flow: no manual config, vector sizes kept in sync.
Index Markdown from Amazon S3 into Postgres pgvector with CocoIndex v1: incremental processing re-embeds only the files and chunks that changed.
The story of CocoIndex at 1,000 GitHub stars: the open-source engine that combines custom transformation logic with incremental processing for data indexing.
CocoIndex continuously watches source changes and applies incremental updates to keep derived data in sync, with low latency and no full reindexing.
Index the documents in a shared Google Drive folder as text embeddings in Postgres with CocoIndex v1, then search them by meaning instead of by filename.
CocoIndex is now open source: the first engine to combine custom transformation logic with incremental processing built specifically for data indexing.
What customizable data indexing pipelines are and why custom transformation logic matters, with practical CocoIndex examples.
What makes indexing pipelines different from other data systems, and why they need special handling for incremental processing and persistence.
How CocoIndex handles system updates in indexing flows: automatic schema inference and managing data + logic evolution without downtime.
Handle large files in data indexing: processing granularity, fan-in/fan-out, and memory pressure, walked through a patent XML example in CocoIndex.
Data consistency in indexing pipelines: concurrent updates, exposure risks, and how CocoIndex's data-driven approach keeps indexes converging.
Fundamentals of data indexing pipelines for RAG: what makes a good one, common production pitfalls, and how CocoIndex addresses them.
CocoIndex is a data indexing platform for AI: ingestion, chunking, embedding, and pipeline management for RAG, semantic search, and knowledge graphs.
Welcome to the official CocoIndex blog! We're excited to share our journey in building high-performance indexing infrastructure for AI applications.