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.
Knowledge Storage
Knowledge uses vector stores to index and retrieve documents. Choose the right backend for your use case.Quick Setup
Supported Vector Stores
Qdrant
High-performance vector search
Chroma
Zero-config local storage
Pinecone
Managed cloud service
Weaviate
Open-source, scalable
LanceDB
Serverless vector DB
Milvus
Enterprise-grade
PGVector
PostgreSQL extension
Cassandra
Distributed storage
ClickHouse
Analytics-optimized
Choosing a Vector Store
| Use Case | Recommended | Why |
|---|---|---|
| Local development | Chroma | Zero config, embedded |
| Production (hosted) | Pinecone | Managed, scalable |
| Production (self-hosted) | Qdrant/Weaviate | Performant, open-source |
| PostgreSQL stack | PGVector | Same infrastructure |
| Enterprise | Milvus | High availability |
Configuration Examples
- Chroma
- Qdrant
- Pinecone
Related
Database Overview
All database backends
Knowledge Quick Start
Get started with knowledge

