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antonyrag edited this page Aug 25, 2026 · 12 revisions

RagLeap Core — Wiki Home

Welcome to the ragleap-core monorepo wiki. This repo hosts the open, pip-installable layer of the RagLeap ecosystem: focused, independently versioned Python libraries published to PyPI, plus the standalone self-hostable app they're built alongside.

If you're looking for the commercial multi-tenant SaaS platform (ragleap.com), that's a separate, private repo — this wiki and packages.ragleap.com cover the open-source packages only.


Live packages

Package Purpose PyPI version Tests Docs
ragleap-rag Core retrieval — 6 vector backends, guardrails, query rewriting, structured output, cost tracking v0.12.3 245 passing packages.ragleap.com
ragleap-graph Neo4j knowledge-graph retrieval — entity/relation extraction, lineage tracing, RBAC, audit logging, concurrent-write safety v0.6.7 89 (88 passed, 1 skipped w/o GEMINI_API_KEY) packages.ragleap.com

Full ecosystem roadmap (12 packages)

Status definitions: Live = published to PyPI today · Next = actively planned, not yet started · After = planned, depends on the "Next" tier landing first · Ongoing = grows continuously alongside every phase · Decision needed / Later = intentionally not yet scoped · Vision = early discussion only, explicitly not a committed roadmap item.

# Package Purpose Status
1 ragleap-rag Core retrieval Live — v0.12.3
2 ragleap-graph Neo4j knowledge-graph retrieval Live — v0.6.7
3 ragleap-vectorstores Pluggable vector backends beyond ragleap-rag core's 6 Next
4 ragleap-tools Built-in tools: search, code exec, calculators, file ops Next
5 ragleap-integrations MCP-native connectors + curated native integrations, building on existing channel code Next
6 ragleap-agents Role-based crews, tool-calling, HITL approval gates After
7 ragleap-flows Low-code orchestration + HITL, bootstrapped from existing n8n integration After
8 ragleap-observability Tracing, hallucination detection, LLM-as-judge eval framework Decision needed — no internal precedent yet
9 ragleap-ops Docker/K8s templates, Helm charts, CI/CD, IaC Ongoing
10 ragleap-studio Visual low-code builder UI Later
11 ragleap-memory Shared long-term memory layer across agents/employees Later — an untracked scaffold directory exists from concurrent automation, not yet a scoped package
12 ragleap-intelligence "AI Employee Twin" vision — persistent per-employee AI assistant Vision only — not scoped, not committed

For the full narrative behind each phase, see Roadmap.


The three layers

Layer What Where
1. Commercial platform Multi-tenant SaaS, AI Employees, billing, managed hosting ragleap.com, private ragleap-backend repo
2. Standalone open-source app Full "RagLeap Core" app — FastAPI web layer, WhatsApp/Telegram/Discord/Voice channels, Neo4j knowledge graph, docker compose up deployable This repo — core/, channels/, db/
3. Focused pip-installable libraries ragleap-rag, ragleap-graph (live today), 10 more planned This repo — packages/

docs.ragleap.com covers Layer 1 only. If you're here for the pip packages, you're in the right place — see packages.ragleap.com for API reference and quickstarts.


Contributing

  • Every claim in code, docs, and marketing is either live-verified against real infrastructure or explicitly labeled unverified. No projected or estimated numbers presented as measured.
  • PRs go through the standard 14-step release cycle for anything touching a published package (see Roadmap for the full checklist).
  • Open issues are the source of truth for what's actually planned next — check the issue tracker before proposing new scope, especially around items marked "decision needed" above.
  • This monorepo has concurrent automated sessions working on it alongside human contributors. If you see unfamiliar branches or stashes, they're very likely legitimate in-progress work — please don't discard them.

Last synced with Roadmap.md and PyPI as of ragleap-graph v0.6.7 / ragleap-rag v0.12.3. If anything here looks stale, the PyPI version pages and packages.ragleap.com are the live source of truth.

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