HippoRAG / HippoRAG2

https://github.com/OSU-NLP-Group/HippoRAG

Hippocampus-inspired RAG. LLMs + knowledge graphs + Personalized PageRank to mimic neocortex/hippocampus roles. NeurIPS 2024.

Active · Verified 2026-10-23 · fresh as of 2026-10-23 · 32 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T3
Created
2024-05 repo fix
License
MIT repo fix
Pricing
searched not found fix
Funding
not applicable — not commercial fix
Freshness
2026-10-23 fix
Layer
agent-infra repo fix
Licensing
open-source repo fix
Deployment locus
local repo fix
Platform vs product
platform repo fix
Maturity
alpha registry fix
SDK languages
python repo fix
Protocols
mcp-server repo fix

Memory taxonomy

storage
graph
retrieval
graph-traversal
persistence
long-term
update
read-only
unit
chunk
governance
inspectable
conflict
n/a

When to use

Optimised for: retrieval quality / accuracy on long-context QA

Anti-fit: most are research papers; production fitness varies by maintainer

Pros & cons

Pros

Hippocampus-inspired single-pass retrieval — strong on multi-hop questions where multi-pass retrieval struggles.

Cons

Index build cost is high; eval primarily on synthetic multi-hop tasks.

Claims & capabilities

Up to +20% on multi-hop QA over SOTA. Single-step retrieval ≥ iterative IRCoT at 10–30× lower cost and 6–13× faster. v2 (Feb 2025) outperforms GraphRAG / RAPTOR / LightRAG.

Technical surface

API surface
not applicable — research paper
Backend storage
not applicable — research paper
Deployment
searched not found
Embedding model
not applicable — research paper
Multi-tenancy
not applicable — research paper
MCP
not applicable — research paper, no deployed product
A2A
not applicable — research paper, no deployed product
OpenTelemetry
not applicable — research paper, no deployed product

Similar systems

Other retrieval-as-memory hybrids in the catalog, ranked by inbound references.

  • GraphRAG (Microsoft) T1

    Modular graph-based RAG. Leiden community detection over knowledge graph; community summaries at multiple levels. DRIFT Search hybrid (Oct 2024). The GraphRAG repo is now largely in maintenance mode: no new features or PRs, only bug fixes and dependency/CVE updates.

  • RETRO T3

    DeepMind. Retrieval-Enhanced Transformer with chunked cross-attention over a 2T-token retrieval database. Frozen BERT retriever + differentiable encoder.

  • Atlas T3

    Meta AI. Jointly fine-tunes retriever + LM for few-shot tasks. The facebookresearch/atlas repo is no longer maintained; the code is provided as is.

  • RAPTOR T3

    Stanford recursive-summarisation tree over the corpus — clusters and summarises documents into a hierarchical index; retrieves at multiple levels. ICLR 2024.

  • Self-RAG T4

    Trains an LLM end-to-end to emit reflection tokens that decide whether to retrieve, assess passage relevance, and critique output quality — all within a single model.

  • MemoRAG T4

    RAG variant with a long-context global memory model that drafts answer clues used to guide passage retrieval — improves recall in noisy multi-hop QA.

Sources (31 cited facts, 1 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • Latest release “v1.0.0 2025-02-27” → “v2.0.0a4 (2025-06-24) — PyPI pre-release; last GitHub release v1.0.0 (2025-02-27)” source
    #195

Related systems

Referenced by (3)