GitHub - SynapCores/synapcores-llamaindex: Official LlamaIndex integration packages for SynapCores — RAG, GraphRAG, and hybrid retrieval on the AI-native SQL engine. · GitHub
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synapcores-llamaindex
Official LlamaIndex integration packages for SynapCores — 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)<br>pip install llama-index llama-index-vector-stores-synapcores
# Property graph store (GraphRAG)<br>pip install llama-index llama-index-graph-stores-synapcores
from llama_index.core import VectorStoreIndex<br>from llama_index.vector_stores.synapcores import SynapCoresVectorStore
vector_store = SynapCoresVectorStore(<br>uri="http://localhost:8080",<br>table_name="llama_nodes",<br>embedding_dim=1536,
index = VectorStoreIndex.from_documents(docs, storage_context=...)<br>response = index.as_query_engine().query("What is in the docs?")
Packages
Package<br>Class<br>Status
llama-index-vector-stores-synapcores<br>SynapCoresVectorStore<br>v0.1.0 alpha
llama-index-graph-stores-synapcores<br>SynapCoresPropertyGraphStore<br>v0.1.0 alpha
A hybrid retriever — SynapCoresHybridRetriever combining vector + graph + SQL in a single retrieval call — is on the v0.2.0 roadmap.
Engine requirements
synapcores/community:v1.7.0.2-ce or newer (needs HNSW DDL, ->> JSON arrow, Cypher)
Default HTTP gateway on :8080
Docs
SRD.md — design + implementation notes
docker/docker-compose.yml — local engine for tests
License
MIT.
About
Official LlamaIndex integration packages for SynapCores — RAG, GraphRAG, and hybrid retrieval on the AI-native SQL engine.
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Readme
License
MIT license
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