llama-index-vector-stores-zerodb
ZeroDB vector store integration for LlamaIndex - the AI-native vector database with free embeddings and sub-millisecond semantic search.
Why ZeroDB?
- Free embeddings - BAAI/bge-small-en-v1.5 (384-dim) powered by TEI, no OpenAI costs
- Sub-millisecond search - pgvector with HNSW indexes
- Zero infrastructure - fully managed, no servers to run
- Instant provisioning -
POST /api/v1/instant-dbgets you a database in one request - Built for agents - MCP server, memory API, event streams
Installation
pip install llama-index-vector-stores-zerodb
Quick Start
from llama_index_zerodb import ZeroDBVectorStore
from llama_index.core import VectorStoreIndex, Document
# Initialize (get your API key at ainative.studio)
vector_store = ZeroDBVectorStore(
api_key="your-api-key",
project_id="your-project-id",
)
# Build index from documents
documents = [
Document(text="ZeroDB is an AI-native vector database"),
Document(text="Semantic search finds meaning, not keywords"),
]
index = VectorStoreIndex.from_documents(documents, vector_store=vector_store)
# Query
query_engine = index.as_query_engine()
response = query_engine.query("What is ZeroDB?")
print(response)
Use as a Standalone Vector Store
from llama_index_zerodb import ZeroDBVectorStore
from llama_index.core import VectorStoreIndex
# Connect to existing vectors
vector_store = ZeroDBVectorStore(
api_key="your-api-key",
project_id="your-project-id",
)
# Build index from existing store
index = VectorStoreIndex.from_vector_store(vector_store)
# Query
retriever = index.as_retriever(similarity_top_k=5)
results = retriever.retrieve("semantic search performance")
for node in results:
print(f"{node.score:.3f}: {node.text[:100]}")
Get a Free API Key
- Sign up at ainative.studio
- Create a ZeroDB project
- Copy your API key
Or get an instant database with no signup:
curl -X POST https://api.ainative.studio/api/v1/public/instant-db
Links
License
MIT - Built by AINative Studio
Metadata
Release files for llama-index-vector-stores-zerodb 0.1.0
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