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Yannick Stephan
2025-02-18 08:55:24 +01:00
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@@ -36,6 +36,7 @@ This repository hosts the code of LightRAG. The structure of this code is based
</div> </div>
## 🎉 News ## 🎉 News
- [x] [2025.02.05]🎯📢Our team has released [VideoRAG](https://github.com/HKUDS/VideoRAG) understanding extremely long-context videos. - [x] [2025.02.05]🎯📢Our team has released [VideoRAG](https://github.com/HKUDS/VideoRAG) understanding extremely long-context videos.
- [x] [2025.01.13]🎯📢Our team has released [MiniRAG](https://github.com/HKUDS/MiniRAG) making RAG simpler with small models. - [x] [2025.01.13]🎯📢Our team has released [MiniRAG](https://github.com/HKUDS/MiniRAG) making RAG simpler with small models.
- [x] [2025.01.06]🎯📢You can now [use PostgreSQL for Storage](#using-postgresql-for-storage). - [x] [2025.01.06]🎯📢You can now [use PostgreSQL for Storage](#using-postgresql-for-storage).
@@ -84,7 +85,7 @@ Use the below Python snippet (in a script) to initialize LightRAG and perform qu
```python ```python
import os import os
from lightrag.lightrag import LightRAG, QueryParam from lightrag import LightRAG, QueryParam
from lightrag.llm.openai import gpt_4o_mini_complete, gpt_4o_complete, openai_embed from lightrag.llm.openai import gpt_4o_mini_complete, gpt_4o_complete, openai_embed
######### #########
@@ -134,7 +135,7 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(
LightRAG now supports multi-turn dialogue through the conversation history feature. Here's how to use it: LightRAG now supports multi-turn dialogue through the conversation history feature. Here's how to use it:
```python ```python
from lightrag.lightrag import LightRAG, QueryParam from lightrag import LightRAG, QueryParam
# Initialize LightRAG # Initialize LightRAG
rag = LightRAG(working_dir=WORKING_DIR) rag = LightRAG(working_dir=WORKING_DIR)
@@ -164,7 +165,7 @@ response = rag.query(
LightRAG now supports custom prompts for fine-tuned control over the system's behavior. Here's how to use it: LightRAG now supports custom prompts for fine-tuned control over the system's behavior. Here's how to use it:
```python ```python
from lightrag.lightrag import LightRAG, QueryParam from lightrag import LightRAG, QueryParam
# Initialize LightRAG # Initialize LightRAG
rag = LightRAG(working_dir=WORKING_DIR) rag = LightRAG(working_dir=WORKING_DIR)