Documentation Index
Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
Use this file to discover all available pages before exploring further.
Pinecone
Managed vector database for production RAG.
Setup
pip install pinecone-client
export PINECONE_API_KEY=your_api_key
Quick Start (Agent with Knowledge)
Use Pinecone as a knowledge store with an agent:
from praisonaiagents import Agent
import os
# Agent with knowledge backed by Pinecone
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(
"pinecone",
api_key="your_api_key",
environment="us-east-1"
)
# Create index
store.create_collection("documents", dimension=384)
# Insert and search
store.insert("documents", [doc])
results = store.search("documents", query_embedding, limit=5)
Configuration
| Option | Description |
|---|
api_key | Pinecone API key |
environment | Pinecone environment |
index_name | Index name |
