diff --git a/.env.template b/.env.template index 1a72ba9..e7a40e2 100644 --- a/.env.template +++ b/.env.template @@ -3,6 +3,6 @@ FALKORDB_PORT= FALKORDB_USERNAME= FALKORDB_PASSWORD= OPENAI_API_KEY= -GOOGLE_API_KEY= +GEMINI_API_KEY= SECRET_TOKEN= diff --git a/README.md b/README.md index 1fb6a2d..17c9c75 100644 --- a/README.md +++ b/README.md @@ -3,19 +3,23 @@ [![Discord](https://img.shields.io/discord/1146782921294884966?style=flat-square)](https://discord.com/invite/6M4QwDXn2w) ## Getting Started + [Live Demo](https://code-graph.falkordb.com/) ## Running locally ### Run FalkorDB + Free cloud instance: https://app.falkordb.cloud/signup Or by running locally with docker: + ```bash docker run -p 6379:6379 -p 3000:3000 -it --rm falkordb/falkordb:latest ``` ### Config + Create your own `.env` file from the `.env.template` file Start the server: @@ -24,16 +28,21 @@ flask --app api/index.py run --debug ``` ### Creating a graph + Process a local source folder: + ```bash curl -X POST http://127.0.0.1:5000/analyze_folder -H "Content-Type: application/json" -d '{"path": "", "ignore": []}' -H "Authorization: <.ENV_SECRET_TOKEN>" ``` For example: + ```bash curl -X POST http://127.0.0.1:5000/analyze_folder -H "Content-Type: application/json" -d '{"path": "/Users/roilipman/Dev/GraphRAG-SDK", "ignore": ["./.github", "./build"]}' -H "Authorization: OpenSesame" ``` + ## Working with your graph + Once the source code analysis completes your FalkorDB DB will be populated with a graph representation of your source code, the graph name should be the same as the name of the folder you've requested to analyze, for the example above a graph named: @@ -43,6 +52,8 @@ At the moment only the Python and C languages are supported, we do intend to sup At this point you can explore and query your source code using various tools Here are several options: -1. FalkorDB built-in UI + +1. [Code-Graph UI](https://github.com/FalkorDB/code-graph) +1. FalkorDB [Browser](https://github.com/FalkorDB/falkordb-browser/) 2. One of FalkorDB's [clients](https://docs.falkordb.com/clients.html) 3. Use FalkorDB [GraphRAG-SDK](https://github.com/FalkorDB/GraphRAG-SDK) to connect an LLM for natural language exploration. diff --git a/api/graph.py b/api/graph.py index d35496c..b4ac275 100644 --- a/api/graph.py +++ b/api/graph.py @@ -28,7 +28,7 @@ def get_repos() -> List[str]: password=os.getenv('FALKORDB_PASSWORD', None)) graphs = db.list_graphs() - graphs = [g for g in graphs if not g.endswith('_git')] + graphs = [g for g in graphs if not (g.endswith('_git') or g.endswith('_schema'))] return graphs class Graph(): diff --git a/api/llm.py b/api/llm.py index f015379..94959da 100644 --- a/api/llm.py +++ b/api/llm.py @@ -1,7 +1,7 @@ import os import logging -from graphrag_sdk.models.openai import OpenAiGenerativeModel +from graphrag_sdk.models.litellm import LiteModel from graphrag_sdk import ( Ontology, Entity, @@ -12,7 +12,6 @@ KnowledgeGraphModelConfig ) -#from graphrag_sdk.models.gemini import GeminiGenerativeModel from .prompts import (CYPHER_GEN_SYSTEM, CYPHER_GEN_PROMPT, GRAPH_QA_SYSTEM, @@ -199,15 +198,15 @@ def _define_ontology() -> Ontology: def _create_kg_agent(repo_name: str): global ontology - openapi_model = OpenAiGenerativeModel("gpt-4o") - #gemini_model = GeminiGenerativeModel("gemini-1.5-flash-001") - #gemini_model_pro = GeminiGenerativeModel("gemini-1.5-pro") + model_name = os.getenv('MODEL_NAME', 'gemini/gemini-2.0-flash-exp') + + model = LiteModel(model_name) #ontology = _define_ontology() code_graph_kg = KnowledgeGraph( name=repo_name, ontology=ontology, - model_config=KnowledgeGraphModelConfig.with_model(openapi_model), + model_config=KnowledgeGraphModelConfig.with_model(model), host=os.getenv('FALKORDB_HOST', 'localhost'), port=os.getenv('FALKORDB_PORT', 6379), username=os.getenv('FALKORDB_USERNAME', None), diff --git a/poetry.lock b/poetry.lock index 4022bf5..b59f114 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,5 +1,128 @@ # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +[[package]] +name 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python_version < "4.0" -cffi==1.17.1 ; python_version >= "3.9" and python_version < "4.0" and implementation_name == "pypy" -charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "4.0" -click==8.1.7 ; python_version >= "3.9" and python_version < "4.0" -colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and (platform_system == "Windows" or sys_platform == "win32") -comm==0.2.2 ; python_version >= "3.9" and python_version < "4.0" -debugpy==1.8.9 ; python_version >= "3.9" and python_version < "4.0" -decorator==5.1.1 ; python_version >= "3.9" and python_version < "4.0" -distro==1.9.0 ; python_version >= "3.9" and python_version < "4.0" -exceptiongroup==1.2.2 ; python_version >= "3.9" and python_version < "3.11" -executing==2.1.0 ; python_version >= "3.9" and python_version < "4.0" -falkordb==1.0.10 ; python_version >= "3.9" and python_version < "4.0" -fix-busted-json==0.0.18 ; python_version >= "3.9" and python_version < "4.0" -flask==3.1.0 ; python_version >= "3.9" and python_version < "4.0" -graphrag-sdk[openai]==0.3.2 ; python_version >= "3.9" and python_version < "4.0" -h11==0.14.0 ; python_version >= "3.9" and python_version < "4.0" -httpcore==1.0.7 ; python_version >= "3.9" and python_version < "4.0" -httpx==0.27.2 ; python_version >= "3.9" and python_version < "4.0" -idna==3.10 ; python_version >= "3.9" and python_version < "4.0" -importlib-metadata==8.5.0 ; python_version >= "3.9" and python_version < "3.10" -ipykernel==6.29.5 ; python_version >= "3.9" and python_version < "4.0" -ipython==8.18.1 ; python_version >= "3.9" and python_version < "4.0" -itsdangerous==2.2.0 ; python_version >= "3.9" and python_version < "4.0" -jedi==0.19.2 ; python_version >= "3.9" and python_version < "4.0" -jinja2==3.1.4 ; python_version >= "3.9" and python_version < "4.0" -jiter==0.8.0 ; python_version >= "3.9" and python_version < "4.0" -jupyter-client==8.6.3 ; python_version >= "3.9" and python_version < "4.0" -jupyter-core==5.7.2 ; 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