cognis-rag 0.3.1

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 very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

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