# LlamaIndex integration for SynapCores (RAG, GraphRAG, and hybrid retrieval)

> Source: <https://github.com/SynapCores/synapcores-llamaindex>
> Published: 2026-06-26 15:50:56+00:00

Official LlamaIndex integration packages for [SynapCores](https://synapcores.com) — the AI-native SQL engine.

Replace Postgres + pgvector + Neo4j + Redis with one self-hosted binary. RAG, GraphRAG, agent memory, and SQL in a single deployable engine.

```
# Vector store (RAG)
pip install llama-index llama-index-vector-stores-synapcores

# Property graph store (GraphRAG)
pip install llama-index llama-index-graph-stores-synapcores
python
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.synapcores import SynapCoresVectorStore

vector_store = SynapCoresVectorStore(
    uri="http://localhost:8080",
    table_name="llama_nodes",
    embedding_dim=1536,
)

index = VectorStoreIndex.from_documents(docs, storage_context=...)
response = index.as_query_engine().query("What is in the docs?")
```

| Package | Class | Status |
|---|---|---|
`llama-index-vector-stores-synapcores` |

`SynapCoresVectorStore`

`llama-index-graph-stores-synapcores`

`SynapCoresPropertyGraphStore`

A hybrid retriever — `SynapCoresHybridRetriever`

combining vector + graph + SQL in a single retrieval call — is on the v0.2.0 roadmap.

`synapcores/community:v1.7.0.2-ce`

or newer (needs HNSW DDL,`->>`

JSON arrow, Cypher)- Default HTTP gateway on
`:8080`

[SRD.md](/SynapCores/synapcores-llamaindex/blob/master/SRD.md)— design + implementation notes[docker/docker-compose.yml](/SynapCores/synapcores-llamaindex/blob/master/docker/docker-compose.yml)— local engine for tests

MIT.