CocoIndex Team
The team behind CocoIndex
Posts by CocoIndex Team
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CocoIndex Changelog 2025-07-07
CocoIndex updates: in-process setup/drop API, EmbedText building block, SplitRecursively improvements, union/NumPy types, and the Kuzu graph target.
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CocoIndex Changelog 2025-05-31
CocoIndex updates: Amazon S3 as a data source, improved query handling, a standalone runtime mode, and more connector and performance improvements.
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CocoIndex Changelog 2025-04-30
CocoIndex updates: knowledge graph support, Qdrant and Supabase targets, KTable and LTable data types, additional LLM providers, and more.
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CocoIndex Changelog 2025-04-07
CocoIndex updates: incremental live update mode, evaluation utilities, date/time types, a Google Drive source, and core performance improvements.
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Keep derived data in sync with changing sources
CocoIndex continuously watches source changes and applies incremental updates to keep derived data in sync, with low latency and no full reindexing.
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Structured Extraction from Patient Intake Form with LLM
Extract typed Patient records from PDF and DOCX intake forms with an LLM and CocoIndex v1: the nested schema is the whole prompt; results land in Postgres.
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Search your Google Drive by meaning
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.
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CocoIndex Changelog 2025-03-20
First release of CocoIndex Changelog: LLM support, codebase indexing, custom functions, and assorted core/performance improvements
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Build Real-Time Codebase Indexing for AI Code Generation
Indexing codebase for RAG with CocoIndex and Tree-sitter in real-time: chunking, embedding, semantic search, and build vector index for efficient retrieval.
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On-premise structured extraction from PDFs with Ollama
Extract structured data from PDF manuals locally with Ollama and CocoIndex: docling converts PDFs to Markdown, a local LLM fills typed Postgres rows.
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We are officially open sourced! 🎉
CocoIndex is now open source: the first engine to combine custom transformation logic with incremental processing built specifically for data indexing.
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Customizable Data Indexing Pipelines
What customizable data indexing pipelines are and why custom transformation logic matters, with practical CocoIndex examples.
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How indexing pipelines differ from other data pipelines
What makes indexing pipelines different from other data systems, and why they need special handling for incremental processing and persistence.
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System updates and automatic schema inference
How CocoIndex handles system updates in indexing flows: automatic schema inference and managing data + logic evolution without downtime.
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Processing Large Files in Data Indexing Systems
Handle large files in data indexing: processing granularity, fan-in/fan-out, and memory pressure, walked through a patent XML example in CocoIndex.
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Data Consistency in Indexing Pipelines
Data consistency in indexing pipelines: concurrent updates, exposure risks, and how CocoIndex's data-driven approach keeps indexes converging.
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Data Indexing and Common Challenges
Fundamentals of data indexing pipelines for RAG: what makes a good one, common production pitfalls, and how CocoIndex addresses them.
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CocoIndex - A Data Indexing Platform for AI Applications
CocoIndex is a data indexing platform for AI: ingestion, chunking, embedding, and pipeline management for RAG, semantic search, and knowledge graphs.