LlamaIndexData framework for connecting custom data sources to LLMs — ingestion, indexing, retrieval.
Why switchBoth connect LLMs to your data, at different layers: LlamaIndex is the retrieval framework (loaders, indexes, query engines) typically run as batch ingestion; CocoIndex is the incremental sync engine that keeps whatever store you target continuously fresh, delta-only, with lineage.
Full comparison → duckleSelf-hosted ETL/ELT on DuckDB: author pipelines on a canvas, in SQL or Python, then ship the same file to your own server — 190+ sources, dbt, CDC, lineage, and an MCP server for agents.
Why switchBoth keep derived data fresh from declared sources without a vendor cloud. CocoIndex is a Python library for incremental AI indexing with per-row lineage; Duckle is a full ETL product — canvas, connectors, scheduler, console — compiling to SQL on DuckDB.
Full comparison → tokensaveCode-intelligence MCP server for coding agents — a pre-indexed semantic graph (libSQL + FTS5) they query instead of grepping: symbols, callers, impact radius in one call. 100% local, 50+ languages.
Why switchHead-to-head on the code-index-for-agents job: tokensave ships a pre-indexed libSQL+FTS5 semantic graph agents query over MCP; CocoIndex's flagship cocoindex-code does the same over MCP but incrementally re-indexed on every commit via the Δ engine.
Full comparison → fenicSemantic DataFrames: PySpark-style select, filter and join alongside AI operators — extract, classify, summarize, embed, semantic join — compiled on an engine built for inference.
Why switchTwo declarative takes on AI data transformation in Python. CocoIndex optimizes for incremental freshness — reprocess only the delta, forever; fenic optimizes for expressiveness — semantic joins and extraction as first-class operators over a lazy plan.
Full comparison → swiftideRust framework for LLM apps: an agent harness, compile-time-typed task graphs, and streaming RAG pipelines — MCP toolboxes, human-in-the-loop approval, tracing with Langfuse support.
Why switchTwo Rust-core indexing engines: CocoIndex is declarative — Target = F(Source), incrementally synced, driven from Python; Swiftide is compositional — streaming pipelines you assemble in Rust, with agents and task graphs living in the same framework.
Full comparison →