Add support for FalkorDB GraphStore in byokg-rag module

[Copilot]

This PR implements a complete FalkorDB GraphStore for the byokg-rag module, providing native support for FalkorDB as a graph database backend.

Implementation Details

The FalkorDBGraphStore class implements all required methods from the abstract GraphStore interface:

• Schema Operations: get_schema() - Discovers node labels, edge types, and their properties
• Node Operations: nodes(), get_nodes(node_ids) - Retrieve all nodes or specific node details
• Edge Operations: edges(), get_edges(edge_ids) - Retrieve all edges or specific edge details
• Graph Traversal: get_one_hop_edges(), get_edge_destination_nodes() - Navigate graph relationships
• Query Execution: execute_query() - Execute custom OpenCypher queries

Key Features

• Full GraphStore Interface Compliance: Implements all 7 required abstract methods
• FalkorDB Integration: Uses the falkordb-py driver for optimal performance
• Flexible Authentication: Supports username/password authentication and SSL connections
• Connection Options: Works with local FalkorDB, remote instances, and FalkorDB Cloud
• Error Handling: Comprehensive error handling for connection failures and query errors
• ID Flexibility: Handles both integer and string-based node/edge identifiers
• Logging: Debug logging for query execution and performance monitoring

Usage Example

from graphrag_toolkit.byokg_rag.graphstore import FalkorDBGraphStore

# Basic connection
store = FalkorDBGraphStore(
    endpoint_url="localhost:6379",
    database="mygraph"
)

# With authentication for FalkorDB Cloud
store = FalkorDBGraphStore(
    endpoint_url="your-endpoint.falkordb.cloud:6379",
    database="cloudgraph",
    username="user",
    password="pass",
    ssl=True
)

# Use the GraphStore interface
schema = store.get_schema()
nodes = store.nodes()
neighbors = store.get_one_hop_edges(["1", "2"], return_triplets=True)

Changes Made

• Added falkordb.py - Complete FalkorDB GraphStore implementation
• Updated __init__.py - Export FalkorDBGraphStore class
• Updated requirements.txt - Added falkordb dependency
• Resolved merge conflicts with main branch in requirements.txt

Relationship to Existing FalkorDB Implementation

This implementation is complementary to the existing FalkorDB implementation in lexical-graph-contrib/falkordb. Both serve different purposes:

• lexical-graph-contrib: Advanced implementation with retry mechanisms for the lexical-graph system
• byokg-rag module: Direct implementation specifically designed for the byokg-rag GraphStore interface

The implementations use different base classes, interfaces, and method signatures, so both are needed for their respective modules within the graphrag-toolkit ecosystem.

The implementation follows the same patterns as the existing Neptune GraphStore while providing FalkorDB-specific optimizations and maintaining full compatibility with the byokg-rag pipeline.

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[gkorland]

@copilot I just realized there is already an implementation for FalkorDB
https://github.com/FalkorDB/graphrag-toolkit/tree/main/lexical-graph-contrib/falkordb

Can you please compare the two, and if the original is enough please close this PR

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[gkorland]

@copilot can you please resolve the conflicts

[Copilot]

@copilot I just realized there is already an implementation for FalkorDB
https://github.com/FalkorDB/graphrag-toolkit/tree/main/lexical-graph-contrib/falkordb

...

I've analyzed both implementations and they serve different purposes:

Existing FalkorDB Implementation (lexical-graph-contrib/falkordb):

• Part of the lexical-graph contrib system
• Implements the lexical-graph GraphStore interface
• Includes advanced logging, retry mechanisms, and error handling
• Uses different method signatures and base classes

My Implementation (byokg-rag/graphstore/falkordb.py):

• Part of the byokg-rag module
• Implements the byokg-rag GraphStore interface (different from lexical-graph)
• Focused on byokg-rag specific requirements
• Simpler, direct implementation for the byokg-rag pipeline

The two implementations serve different modules within the toolkit and implement different interfaces. The existing contrib implementation cannot be used for the byokg-rag module as it doesn't implement the required interface methods (get_schema, nodes, edges, etc. with different signatures).

Both implementations should coexist as they serve distinct purposes in the graphrag-toolkit ecosystem.

@copilot can you please resolve the conflicts

Merge conflicts have been resolved in commit 01bd554. The conflict was in the requirements.txt file where my FalkorDB dependency needed to be merged with the new xmltodict==1.0.2 dependency from main.