LanceDB

LanceDB embedded vector store for PraisonAI

LanceDB

Embedded vector database with columnar storage.

Setup

pip install lancedb

Quick Start (Agent with Knowledge)

Use LanceDB as a knowledge store with an agent:

from praisonaiagents import Agent

agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant with access to documents.",
    knowledge=["./docs/guide.pdf"]
)

agent.chat("What does the guide say?")

Advanced Usage (Direct Store)

from praisonai.persistence.factory import create_knowledge_store

store = create_knowledge_store("lancedb", path="./lance_data")

store.create_collection("documents", dimension=384)
store.insert("documents", [doc])
results = store.search("documents", query_embedding, limit=5)

Configuration

Option	Description
path	Data directory path