[BUG] # Official Docker Image Doesn't Support FalkorDB - Requires Neo4j Only
Summary
The official zepai/graphiti:latest Docker image does not support FalkorDB deployment despite the documentation showing FalkorDB as a supported backend. The image only supports Neo4j and fails to start when FalkorDB environment variables are provided.
Problem Description
Expected Behavior
According to the official FalkorDB documentation at https://github.com/getzep/graphiti/blob/main/README.md, Graphiti should support FalkorDB with the following configuration:
# Install with FalkorDB support
pip install graphiti-core[falkordb]
# Environment variables
export FALKORDB_HOST=localhost
export FALKORDB_PORT=6379
export OPENAI_API_KEY=your_key
Actual Behavior
When attempting to deploy using the official Docker image zepai/graphiti:latest with FalkorDB configuration, the container fails to start with validation errors.
Steps to Reproduce
-
Deploy FalkorDB container (working correctly):
docker run -d --name falkordb \ -p 6379:6379 -p 3000:3000 \ --restart unless-stopped \ falkordb/falkordb:latest -
Create Graphiti server configuration:
# .env file FALKORDB_HOST=host.docker.internal FALKORDB_PORT=6379 FALKORDB_DATABASE=my_knowledge_graph OPENAI_API_KEY=your_openai_api_key MODEL_NAME=gpt-4o-mini GROUP_ID=test_falkordb -
Create docker-compose.yml:
version: '3.8' services: graphiti-api: image: zepai/graphiti:latest ports: - '8000:8000' env_file: - .env -
Deploy Graphiti container:
docker-compose up -d
Error Details
The container exits with code 3 and produces the following error logs:
ERROR: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/starlette/routing.py", line 692, in lifespan
async with self.lifespan_context(app) as maybe_state:
File "/usr/local/lib/python3.12/contextlib.py", line 210, in __aenter__
return await anext(self.gen)
File "/usr/local/lib/python3.12/site-packages/fastapi/routing.py", line 133, in merged_lifespan
async with original_context(app) as maybe_original_state:
File "/usr/local/lib/python3.12/contextlib.py", line 210, in __aenter__
return await anext(self.gen)
File "/usr/local/lib/python3.12/site-packages/fastapi/routing.py", line 133, in merged_lifespan
async with original_context(app) as maybe_original_state:
File "/app/graph_service/main.py", line 13, in lifespan
settings = get_settings()
File "/app/graph_service/config.py", line 23, in get_settings
return Settings()
File "/usr/local/lib/python3.12/site-packages/pydantic_settings/main.py", line 176, in __init__
super().__init__(
File "/usr/local/lib/python3.12/site-packages/pydantic/main.py", line 214, in __init__
validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 3 validation errors for Settings
neo4j_uri
Field required [type=missing, input_value={'openai_api_key': 'sk-8l...el_name': 'gpt-4o-mini'}, input_type=dict]
neo4j_user
Field required [type=missing, input_value={'openai_api_key': 'sk-8l...el_name': 'gpt-4o-mini'}, input_type=dict]
neo4j_password
Field required [type=missing, input_value={'openai_api_key': 'sk-8l...el_name': 'gpt-4o-mini'}, input_type=dict]
Root Cause Analysis
The official Docker image zepai/graphiti:latest contains server code that:
-
Only supports Neo4j: The
Settingsclass in/app/graph_service/config.pyrequiresneo4j_uri,neo4j_user, andneo4j_passwordfields - Doesn't support FalkorDB: No FalkorDB environment variables are recognized
- Mismatch with documentation: The documentation shows FalkorDB support, but the Docker image doesn't implement it
Impact
- Users cannot deploy Graphiti with FalkorDB using the official Docker image
- Documentation is misleading - suggests FalkorDB support exists in Docker deployment
- Requires custom builds - users must build their own Docker images to use FalkorDB
- Blocks production deployments - FalkorDB users cannot use the official deployment method
Suggested Solutions
Option 1: Update Official Docker Image
Update the zepai/graphiti:latest image to support both Neo4j and FalkorDB backends by:
- Adding FalkorDB environment variables to the Settings class
- Implementing conditional logic to use FalkorDriver or Neo4jDriver based on configuration
- Maintaining backward compatibility with existing Neo4j deployments
Option 2: Create FalkorDB-Specific Image
Create a separate zepai/graphiti-falkordb:latest image specifically for FalkorDB deployments.
Option 3: Update Documentation
If FalkorDB support is not planned for the Docker image, update the documentation to clarify that:
- FalkorDB support is only available for local Python installations
- Docker deployments require Neo4j backend
- Custom Docker builds are needed for FalkorDB
Environment Information
- FalkorDB Version: falkordb/falkordb:latest (FalkorDB v4.10.3 on Redis 7.4.2)
- Graphiti Docker Image: zepai/graphiti:latest
- Deployment Method: Docker Compose
- Operating System: Ubuntu (Docker host)
- Docker Version: Latest
Additional Context
This issue was discovered while following the official FalkorDB deployment instructions exactly. The FalkorDB container works perfectly, but the Graphiti API server cannot connect to it due to the missing FalkorDB support in the official Docker image.
Related Issues
This appears to be a gap between the documented FalkorDB support and the actual Docker image implementation. Users who want to use FalkorDB with Graphiti currently have no official Docker deployment option.
Priority: High - This blocks FalkorDB users from using the official deployment method Labels: bug, docker, falkordb, deployment, documentation
Is someone working on this already? This is a highly desired feature for rest server. Not only FalkorDB, but adding support for other LLM Providers through the usage of optional environment variables would be a fine addition, since this is already supported by Graphiti.
version: '3.8' services: graphiti-api: image: zepai/graphiti:latest ports: - '8000:8000' env_file: - .env volumes: - ./beem:/path/inside/container/beem
Silly question the file was mounted eg
On Sat, 19 Jul 2025, 23:37 omernesh, @.***> wrote:
omernesh created an issue (getzep/graphiti#749) https://github.com/getzep/graphiti/issues/749 Summary
The official zepai/graphiti:latest Docker image does not support FalkorDB deployment despite the documentation showing FalkorDB as a supported backend. The image only supports Neo4j and fails to start when FalkorDB environment variables are provided. Problem Description Expected Behavior
According to the official FalkorDB documentation at https://github.com/getzep/graphiti/blob/main/README.md, Graphiti should support FalkorDB with the following configuration:
Install with FalkorDB support
pip install graphiti-core[falkordb]
Environment variablesexport FALKORDB_HOST=localhostexport FALKORDB_PORT=6379export OPENAI_API_KEY=your_key
Actual Behavior
When attempting to deploy using the official Docker image zepai/graphiti:latest with FalkorDB configuration, the container fails to start with validation errors. Steps to Reproduce
Deploy FalkorDB container (working correctly):
docker run -d --name falkordb
-p 6379:6379 -p 3000:3000
--restart unless-stopped
falkordb/falkordb:latest
Create Graphiti server configuration:
.env file
FALKORDB_HOST=host.docker.internal FALKORDB_PORT=6379 FALKORDB_DATABASE=my_knowledge_graph OPENAI_API_KEY=your_openai_api_key MODEL_NAME=gpt-4o-mini GROUP_ID=test_falkordb
Create docker-compose.yml:
version: '3.8'services: graphiti-api: image: zepai/graphiti:latest ports: - '8000:8000' env_file: - .env
Deploy Graphiti container:
docker-compose up -d
Error Details
The container exits with code 3 and produces the following error logs:
ERROR: Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/starlette/routing.py", line 692, in lifespan async with self.lifespan_context(app) as maybe_state: File "/usr/local/lib/python3.12/contextlib.py", line 210, in aenter return await anext(self.gen) File "/usr/local/lib/python3.12/site-packages/fastapi/routing.py", line 133, in merged_lifespan async with original_context(app) as maybe_original_state: File "/usr/local/lib/python3.12/contextlib.py", line 210, in aenter return await anext(self.gen) File "/usr/local/lib/python3.12/site-packages/fastapi/routing.py", line 133, in merged_lifespan async with original_context(app) as maybe_original_state: File "/app/graph_service/main.py", line 13, in lifespan settings = get_settings() File "/app/graph_service/config.py", line 23, in get_settings return Settings() File "/usr/local/lib/python3.12/site-packages/pydantic_settings/main.py", line 176, in init super().init( File "/usr/local/lib/python3.12/site-packages/pydantic/main.py", line 214, in init validated_self = self.pydantic_validator.validate_python(data, self_instance=self) pydantic_core._pydantic_core.ValidationError: 3 validation errors for Settings neo4j_uri Field required [type=missing, input_value={'openai_api_key': 'sk-8l...el_name': 'gpt-4o-mini'}, input_type=dict] neo4j_user Field required [type=missing, input_value={'openai_api_key': 'sk-8l...el_name': 'gpt-4o-mini'}, input_type=dict] neo4j_password Field required [type=missing, input_value={'openai_api_key': 'sk-8l...el_name': 'gpt-4o-mini'}, input_type=dict]
Root Cause Analysis
The official Docker image zepai/graphiti:latest contains server code that:
- Only supports Neo4j: The Settings class in /app/graph_service/config.py requires neo4j_uri, neo4j_user, and neo4j_password fields
- Doesn't support FalkorDB: No FalkorDB environment variables are recognized
- Mismatch with documentation: The documentation shows FalkorDB support, but the Docker image doesn't implement it
Impact
- Users cannot deploy Graphiti with FalkorDB using the official Docker image
- Documentation is misleading - suggests FalkorDB support exists in Docker deployment
- Requires custom builds - users must build their own Docker images to use FalkorDB
- Blocks production deployments - FalkorDB users cannot use the official deployment method
Suggested Solutions Option 1: Update Official Docker Image
Update the zepai/graphiti:latest image to support both Neo4j and FalkorDB backends by:
- Adding FalkorDB environment variables to the Settings class
- Implementing conditional logic to use FalkorDriver or Neo4jDriver based on configuration
- Maintaining backward compatibility with existing Neo4j deployments
Option 2: Create FalkorDB-Specific Image
Create a separate zepai/graphiti-falkordb:latest image specifically for FalkorDB deployments. Option 3: Update Documentation
If FalkorDB support is not planned for the Docker image, update the documentation to clarify that:
- FalkorDB support is only available for local Python installations
- Docker deployments require Neo4j backend
- Custom Docker builds are needed for FalkorDB
Environment Information
- FalkorDB Version: falkordb/falkordb:latest (FalkorDB v4.10.3 on Redis 7.4.2)
- Graphiti Docker Image: zepai/graphiti:latest
- Deployment Method: Docker Compose
- Operating System: Ubuntu (Docker host)
- Docker Version: Latest
Additional Context
This issue was discovered while following the official FalkorDB deployment instructions exactly. The FalkorDB container works perfectly, but the Graphiti API server cannot connect to it due to the missing FalkorDB support in the official Docker image. Related Issues
This appears to be a gap between the documented FalkorDB support and the actual Docker image implementation. Users who want to use FalkorDB with Graphiti currently have no official Docker deployment option.
Priority: High - This blocks FalkorDB users from using the official deployment method Labels: bug, docker, falkordb, deployment, documentation
— Reply to this email directly, view it on GitHub https://github.com/getzep/graphiti/issues/749, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACUEYCKGMZEDHBQ5TUMH35T3JK3BJAVCNFSM6AAAAACB5BZRWOVHI2DSMVQWIX3LMV43ASLTON2WKOZTGI2DKNRYG43TOOI . You are receiving this because you are subscribed to this thread.Message ID: @.***>
version: '3.8' services: graphiti-api: image: zepai/graphiti:latest ports: - '8000:8000' env_file: - .env volumes: - ./beem:/path/inside/container/beem
Silly question the file was mounted eg …
Sorry, I'm not sure I understand what you mean. Care to elaborate? What am I doing wrong?
Hi @omernesh, This issue has been fixed in PR #742. We've updated the server configuration to properly support FalkorDB deployment with the official Docker image.
The validation errors you encountered will no longer occur when using FalkorDB backend.
This fix will be available once PR #742 is merged. Thanks for reporting this issue.
hey, any timeline for PR #742 to be merged?
Thanks.
@danielchalef @prasmussen15 ?
@omernesh Is this still an issue? Please confirm within 14 days or this issue will be closed.
@omernesh Is this still an issue? Please confirm within 14 days or this issue will be closed.
same question +