KLEngine - Allocated Requirements¶

This document outlines the requirements allocated to the KLEngine component within the AgentHeaven architecture.

1. Overview¶

KLEngine provides the retrieval and utilization capabilities for knowledge stored in UKF format.


2. Allocated Requirements¶

2.1 Functional Requirements¶

ID

Requirement

Implementation Details

Priority

FR-08

Retrieval Engine

Implements search methods

High

FR-14

Knowledge Distillation

Supports model fine-tuning

Low

FR-59

Faceted Search

Implements FacetKLEngine for structured search

High

FR-60

Natural Language Search

Provides LLM-powered query translation

High

FR-61

SQL Query Interface

Supports direct SQL execution

High

FR-62

Vector Search

Enables embedding-based similarity search

Medium

FR-63

Graph Search

Implements relationship-based traversal

Medium

FR-64

Ensemble Search

Combines multiple retrieval methods

Medium

FR-65

Index Management

Manages search indexes for performance

High

2.2 Non-Functional Requirements¶

ID

Requirement

Implementation Details

Priority

NFR-01

Performance

Optimizes retrieval speed

High

NFR-02

Observability

Logs retrieval operations

Medium

NFR-28

Search Accuracy

Ensures high precision and recall

High

NFR-29

Query Flexibility

Supports complex query expressions

High

NFR-30

Index Efficiency

Optimizes index size and update speed

Medium


2.3 Cross-Component Dependencies¶

Component

Description

KLStore

For accessing stored knowledge

LLM

For knowledge-augmented operations

Agent

For utilizing retrieved knowledge


3. Implementation Notes¶

[Add implementation notes here]


4. Open Issues¶

[List any open issues or questions]


Further Exploration¶

Tip: For more information about the knowledge engine in AgentHeaven, see:

Tip: For more information about AgentHeaven architecture, see: