cognis-rag 0.3.2

RAG primitives for Cognis: embeddings, vector stores (in-memory, FAISS, Chroma, Qdrant, Pinecone, Weaviate), retrievers, text splitters, document loaders, and incremental indexing pipelines.
Documentation

cognis-rag

There is currently very little information to present on this page because Docs.rs has only limited support for extracting structured feature metadata from Cargo crates. This issue is tracked in Rust RFC #3416. Check this library's main docs, readme, and Cargo.toml in case its authors have documentation for features available there instead.

This version has 17 feature flags, 2 of them enabled by default.

default

ollama (default)

openai (default)

all-loaders

all-vectorstores

csv-loader

google

html-loader

This feature flag does not enable additional features.

pdf-loader

toml-loader

vectorstore-chroma

vectorstore-faiss

This feature flag does not enable additional features.

vectorstore-pinecone

vectorstore-qdrant

vectorstore-weaviate

voyage

web-loader

yaml-loader