4 projects
ragleap-graph
Knowledge-graph-augmented retrieval for RAG systems: Neo4j-backed entity extraction (regex or LLM-based), co-occurrence graphs, entity deduplication, and GraphRetriever for hybrid vector+graph retrieval via the optional ragleap-rag integration. Framework-agnostic, optional multi-tenant namespacing, no hardcoded models or vocabulary.
ragleap-vectorstores
Pluggable vector backends beyond ragleap-rag core's 6 (PgVector, FAISS, Pinecone, Weaviate, Qdrant, Milvus) - additional VectorBackend implementations as optional extras, no vendor lock-in, no bloated core dependency footprint.
ragleap-ops
Kubernetes deployment manifests for RagLeap Core, live-tested against a real cluster
ragleap-rag
Self-hosted RAG engine: hybrid dense+sparse retrieval, 28-format ingestion (docs, URLs, images, audio, video), 6 vector backends, 8 embedding providers, 12+ generation providers with automatic fallback, query rewriting (HyDE/contextual/multi-query), structured JSON output, real per-call cost tracking, and standalone retrieval via retrieve(). Composable with the optional ragleap-graph package for knowledge-graph-augmented retrieval. BYOK, no vendor lock-in, no hardcoded model defaults.
