Merge branch 'main' into feat/COG-544-eval-on-swe-bench

.env.template

@@ -8,14 +8,14 @@ GRAPHISTRY_PASSWORD=
 SENTRY_REPORTING_URL=
 
 # "neo4j" or "networkx"
-GRAPH_DATABASE_PROVIDER="neo4j"
+GRAPH_DATABASE_PROVIDER="networkx"
 # Not needed if using networkx
 GRAPH_DATABASE_URL=
 GRAPH_DATABASE_USERNAME=
 GRAPH_DATABASE_PASSWORD=
 
 # "qdrant", "pgvector", "weaviate" or "lancedb"
-VECTOR_DB_PROVIDER="qdrant"
+VECTOR_DB_PROVIDER="lancedb"
 # Not needed if using "lancedb" or "pgvector"
 VECTOR_DB_URL=
 VECTOR_DB_KEY=

.github/workflows/test_cognee_llama_index_notebook.yml

@@ -46,7 +46,7 @@ jobs:
 
       - name: Install dependencies
         run: |
-          poetry install --no-interaction --all-extras --no-root
+          poetry install --no-interaction --all-extras 
           poetry add jupyter --no-interaction
 
       - name: Execute Jupyter Notebook

README.md

@@ -10,17 +10,14 @@
 We build for developers who need a reliable, production-ready data layer for AI applications
 
 
-## What is cognee? 
+## What is cognee?
 
 Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.
 Try it in a Google Colab  <a href="https://colab.research.google.com/drive/1g-Qnx6l_ecHZi0IOw23rg0qC4TYvEvWZ?usp=sharing">notebook</a>  or have a look at our <a href="https://topoteretes.github.io/cognee">documentation</a>
 
 If you have questions, join our  <a href="https://discord.gg/NQPKmU5CCg">Discord</a> community
 
 
-
-
-
 ## 📦 Installation
 
 ### With pip
@@ -47,6 +44,7 @@ poetry add cognee
 poetry add cognee -E postgres
 ```
 
+
 ## 💻 Basic Usage
 
 ### Setup
@@ -83,7 +81,7 @@ docker-compose up
 ```
 Then navigate to localhost:3000
 
-If you want to use the UI with PostgreSQL through docker-compose make sure to set the following values in the .env file: 
+If you want to use Cognee with PostgreSQL, make sure to set the following values in the .env file:
 ```
 DB_PROVIDER=postgres
 
@@ -97,9 +95,7 @@ DB_PASSWORD=cognee
 
 ### Simple example
 
-First, copy `.env.template` to `.env` and add your OpenAI API key to the LLM_API_KEY field. 
-
-Optionally, set `VECTOR_DB_PROVIDER="lancedb"` in `.env` to simplify setup.
+First, copy `.env.template` to `.env` and add your OpenAI API key to the LLM_API_KEY field.
 
 This script will run the default pipeline:
 
@@ -140,7 +136,7 @@ async def main():
 
 asyncio.run(main())
 ```
-A version of this example is here: `examples/pyton/simple_example.py`
+A version of this example is here: `examples/python/simple_example.py`
 
 ### Create your own memory store
 
@@ -251,7 +247,6 @@ Cognee supports a variety of tools and services for different operations:
 Check out our demo notebook [here](https://github.com/topoteretes/cognee/blob/main/notebooks/cognee_demo.ipynb)
 
 
-
 [<img src="https://i3.ytimg.com/vi/-ARUfIzhzC4/maxresdefault.jpg" width="100%">](https://www.youtube.com/watch?v=BDFt4xVPmro "Learn about cognee: 55")
 
 
@@ -274,15 +269,32 @@ Please see the cognee [Development Guide](https://topoteretes.github.io/cognee/q
 pip install cognee
 ```
 
-## Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=topoteretes/cognee&type=Date)](https://star-history.com/#topoteretes/cognee&Date)
-
-
 ## 💫 Contributors
 
 <a href="https://github.com/topoteretes/cognee/graphs/contributors">
   <img alt="contributors" src="https://contrib.rocks/image?repo=topoteretes/cognee"/>
 </a>
 
 
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=topoteretes/cognee&type=Date)](https://star-history.com/#topoteretes/cognee&Date)
+
+
+## Vector & Graph Databases Implementation State
+
+<style>
+  table {
+    width: 100%;
+  }
+</style>
+
+| Name             | Type               | Current state     | Known Issues                          |
+|------------------|--------------------|-------------------|---------------------------------------|
+| Qdrant           | Vector             | Stable &#x2705;   |                                       |
+| Weaviate         | Vector             | Stable &#x2705;   |                                       |
+| LanceDB          | Vector             | Stable &#x2705;   |                                       |
+| Neo4j            | Graph              | Stable &#x2705;   |                                       |
+| NetworkX         | Graph              | Stable &#x2705;   |                                       |
+| FalkorDB         | Vector/Graph       | Unstable &#x274C; |                                       |
+| PGVector         | Vector             | Unstable &#x274C; | Postgres DB returns the Timeout error |

cognee-frontend/src/ui/Partials/SettingsModal/Settings.tsx

@@ -30,8 +30,8 @@ const defaultProvider = {
 };
 
 const defaultModel = {
-  label: 'gpt-4o',
-  value: 'gpt-4o',
+  label: 'gpt-4o-mini',
+  value: 'gpt-4o-mini',
 };
 
 export default function Settings({ onDone = () => {}, submitButtonText = 'Save' }) {

cognee/infrastructure/llm/config.py

@@ -4,7 +4,7 @@
 
 class LLMConfig(BaseSettings):
     llm_provider: str = "openai"
-    llm_model: str = "gpt-4o"
+    llm_model: str = "gpt-4o-mini"
     llm_endpoint: str = ""
     llm_api_key: Optional[str] = None
     llm_temperature: float = 0.0

cognee/modules/settings/get_settings.py

@@ -73,6 +73,9 @@ def get_settings() -> SettingsDict:
             "providers": llm_providers,
             "models": {
                 "openai": [{
+                    "value": "gpt-4o-mini",
+                    "label": "gpt-4o-mini",
+                }, {
                     "value": "gpt-4o",
                     "label": "gpt-4o",
                 }, {

examples/python/simple_example.py

@@ -6,7 +6,6 @@
 # 1. Copy `.env.template` and rename it to `.env`.
 # 2. Add your OpenAI API key to the `.env` file in the `LLM_API_KEY` field:
 #    LLM_API_KEY = "your_key_here"
-# 3. (Optional) To minimize setup effort, set `VECTOR_DB_PROVIDER="lancedb"` in `.env".
 
 async def main():
     # Create a clean slate for cognee -- reset data and system state