Python SDK for CortexDB — a RAG-powered memory database
Project description
CortexDB Python SDK
A Python client for the CortexDB RAG backend, providing easy access to ingestion, querying, and LLM orchestration.
Features
- Setup API: Configure LLM providers (Gemini, OpenAI, Azure).
- Ingest API: Ingest documents with automatic embedding generation.
- Query API: Perform semantic search, entity retrieval, and graph traversals.
- Native LLM Integration: Uses
google-genaifor native Gemini support.
Installation
pip install cortexdb-py
Or visit the package on PyPI.
Usage
See main.py for a complete example of setting up a medical chatbot.
from cortexdb import CortexDB
db = CortexDB("http://localhost:8080")
# Setup
db.setup.configure(provider="GEMINI", api_key="...", chat_model="gemini-2.0-flash", embed_model="gemini-embedding-001")
# Ingest
db.ingest.document(uid="user-1", document_title="Test Doc", document_text="Hello world")
db.ingest.prompt(uid="user-1", converser="USER", text="What is this?")
# Query
results = db.query.search_contexts("Hello", limit=5)
Testing
pip install pytest respx
pytest tests/
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