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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.

Vector stores enable semantic search over embeddings.

Quick Start

1

Use Vector Store

use praisonai::{Agent, KnowledgeConfig, VectorStore};

let config = KnowledgeConfig::new()
    .source("docs/")
    .vector_store(VectorStore::InMemory);

let agent = Agent::new()
    .name("Assistant")
    .knowledge(config)
    .build()?;

Vector Store Options

StoreDescription
InMemoryFast, non-persistent
SQLitePersistent, local
PostgresProduction-ready
QdrantSpecialized vector DB

Knowledge

Knowledge base

Embeddings

Create embeddings