Merge pull request #47 from topoteretes/update_blog

added main docs and blog page

docs/blog/.authors.yml

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+authors:
+  tricalt:
+    name: Vasilije Markovic
+    description: Creator
+    avatar: https://avatars.githubusercontent.com/u/8619304?v=4
+    url: https://twitter.com/intent/follow?screen_name=tricalt

docs/blog/index.md

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+# Welcome to the cognee Blog
+
+The goal of the blog is to discuss broader topics around the cognee project, including the motivation behind the project, the technical details, and the future of the project.
+
+## Towards production pipelines step by step
+
+1. [From demo to production 1](posts/from-demo-to-production-1.md)
+2. [From demo to production 2](posts/from-demo-to-production-2.md)
+3. [From demo to production 3](posts/from-demo-to-production-3.md)
+4. [From demo to production 4](posts/from-demo-to-production-4.md)

docs/blog/posts/from-demo-to-production-1.md

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+---
+draft: False
+date: 2023-10-05
+tags:
+  - pydantic
+  - langchain
+  - llm
+  - openai 
+  - functions
+  - pdfs
+authors:
+  - tricalt
+---
+
+# First post
+
+
+## Conclusion
+
+
+If you enjoy the content or want to try out `cognee` please check out the [github](https://github.com/topoteretes/cognee) and give us a star!

docs/blog/posts/from-demo-to-production-2.md

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+## Conclusion
+
+
+If you enjoy the content or want to try out `cognee` please check out the [github](https://github.com/topoteretes/cognee) and give us a star!

docs/blog/posts/from-demo-to-production-3.md

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+## Conclusion
+
+
+If you enjoy the content or want to try out `cognee` please check out the [github](https://github.com/topoteretes/cognee) and give us a star!

docs/blog/posts/from-demo-to-production-4.md

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+## Conclusion
+
+
+If you enjoy the content or want to try out `cognee` please check out the [github](https://github.com/topoteretes/cognee) and give us a star!

docs/index.md

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-### HELLO WORLD
+# cognee, Make data processing for LLMs easy
+
+_Open-source framework for creating knowledge graphs and data models for LLMs._
+
+---
+
+[![Twitter Follow](https://img.shields.io/twitter/follow/tricalt?style=social)](https://twitter.com/tricalt)
+[![Downloads](https://img.shields.io/pypi/dm/cognee.svg)](https://pypi.python.org/pypi/instructor)
+
+
+
+
+
+cognee makes it easy to reliably enrich data for Large Language Models (LLMs) like GPT-3.5, GPT-4, GPT-4-Vision, including in the future the open source models like Mistral/Mixtral from Together, Anyscale, Ollama, and llama-cpp-python.
+
+By leveraging various tools like graph databases, function calling, tool calling and Pydantic; cognee stands out for its aim to emulate human memory for LLM apps and frameworks. 
+We leverage Neo4j to do the heavy lifting and dlt to load the data, and we've built a simple, easy-to-use API on top of it by helping you manage your context
+
+
+## Getting Started
+
+```
+pip install -U cognee
+```
+
+You can also check out our [cookbook](./examples/index.md)  to learn more about how to use cognee.
+
+
+
+## Why use cognee?
+
+The question of using cognee is fundamentally a question of why to structure data inputs and outputs for your llm workflows.
+
+1. **Cost effective** — With our upcoming opensource release, cognee will extend the capabilities of your LLMs without the need for expensive data processing tools.
+
+2. **Self contained** — cognee runs as a library and is simple to use
+
+3. **Interpretable** — Navigate graphs instead of embeddings to understand your data.
+
+4. **User Guided** cognee lets you control your input and provide your own Pydantic data models 
 
-## hello hello 

docs/overrides/main.html

@@ -1,6 +1,6 @@
 {% extends "base.html" %} {% block announce %} For updates follow
 <strong>@tricalt</strong> on
-<a href="https://twitter.com/jxnlco">
+<a href="https://twitter.com/tricalt">
   <span class="twemoji twitter">
     {% include ".icons/fontawesome/brands/twitter.svg" %}
   </span>