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upgrading llama2 to llama3 #168

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upgrading llama2 to llama3 #168

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2 changes: 1 addition & 1 deletion chains.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
def load_embedding_model(embedding_model_name: str, logger=BaseLogger(), config={}):
if embedding_model_name == "ollama":
embeddings = OllamaEmbeddings(
base_url=config["ollama_base_url"], model="llama2"
base_url=config["ollama_base_url"], model="llama3"
)
dimension = 4096
logger.info("Embedding: Using Ollama")
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8 changes: 4 additions & 4 deletions docker-compose.yml
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Expand Up @@ -24,7 +24,7 @@ services:
dockerfile: pull_model.Dockerfile
environment:
- OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434}
- LLM=${LLM-llama2}
- LLM=${LLM-llama3}
networks:
- net
tty: true
Expand Down Expand Up @@ -105,7 +105,7 @@ services:
- OPENAI_API_KEY=${OPENAI_API_KEY-}
- GOOGLE_API_KEY=${GOOGLE_API_KEY-}
- OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434}
- LLM=${LLM-llama2}
- LLM=${LLM-llama3}
- EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer}
- LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"}
- LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false}
Expand Down Expand Up @@ -144,7 +144,7 @@ services:
- OPENAI_API_KEY=${OPENAI_API_KEY-}
- GOOGLE_API_KEY=${GOOGLE_API_KEY-}
- OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434}
- LLM=${LLM-llama2}
- LLM=${LLM-llama3}
- EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer}
- LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"}
- LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false}
Expand Down Expand Up @@ -185,7 +185,7 @@ services:
- OPENAI_API_KEY=${OPENAI_API_KEY}
- GOOGLE_API_KEY=${GOOGLE_API_KEY}
- OLLAMA_BASE_URL=${OLLAMA_BASE_URL-http://host.docker.internal:11434}
- LLM=${LLM-llama2}
- LLM=${LLM-llama3}
- EMBEDDING_MODEL=${EMBEDDING_MODEL-sentence_transformer}
- LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT-"https://api.smith.langchain.com"}
- LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2-false}
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8 changes: 4 additions & 4 deletions env.example
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@@ -1,15 +1,15 @@
#*****************************************************************
# LLM and Embedding Model
#*****************************************************************
LLM=llama2 #or any Ollama model tag, gpt-4, gpt-3.5, or claudev2
LLM=llama3 #or any Ollama model tag, gpt-4, gpt-3.5, or claudev2
EMBEDDING_MODEL=sentence_transformer #or google-genai-embedding-001 openai, ollama, or aws

#*****************************************************************
# Neo4j
#*****************************************************************
#NEO4J_URI=neo4j://database:7687
#NEO4J_USERNAME=neo4j
#NEO4J_PASSWORD=password
NEO4J_URI=neo4j://database:7687
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=password

#*****************************************************************
# Langchain
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2 changes: 1 addition & 1 deletion readme.md
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Expand Up @@ -14,7 +14,7 @@ Available variables:
| NEO4J_URI | neo4j://database:7687 | REQUIRED - URL to Neo4j database |
| NEO4J_USERNAME | neo4j | REQUIRED - Username for Neo4j database |
| NEO4J_PASSWORD | password | REQUIRED - Password for Neo4j database |
| LLM | llama2 | REQUIRED - Can be any Ollama model tag, or gpt-4 or gpt-3.5 or claudev2 |
| LLM | llama3 | REQUIRED - Can be any Ollama model tag, or gpt-4 or gpt-3.5 or claudev2 |
| EMBEDDING_MODEL | sentence_transformer | REQUIRED - Can be sentence_transformer, openai, aws, ollama or google-genai-embedding-001|
| AWS_ACCESS_KEY_ID | | REQUIRED - Only if LLM=claudev2 or embedding_model=aws |
| AWS_SECRET_ACCESS_KEY | | REQUIRED - Only if LLM=claudev2 or embedding_model=aws |
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8 changes: 4 additions & 4 deletions running_on_wsl.md
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Expand Up @@ -29,15 +29,15 @@ After the activation enter into the WSL with the command `wsl` and type `docker`
- To list the downloaded model: `ollama list`. This command could lead to:
```sh
NAME ID SIZE MODIFIED
llama2:latest 7da22eda89ac 3.8 GB 22 minutes ago
llama3:latest 7da22eda89ac 3.8 GB 22 minutes ago
```
- (OPTIONAL) To remove model: `ollama rm llama2`
- To run the ollama on WSL: `ollama run llama2`
- (OPTIONAL) To remove model: `ollama rm llama3`
- To run the ollama on WSL: `ollama run llama3`

3. clone the repo
4. cd into the repo and enter wsl
5. run `docker-compose up`

# Run the stack on MAC:

On MAC you can follow this tutorial: https://collabnix.com/getting-started-with-genai-stack-powered-with-docker-langchain-neo4j-and-ollama/
On MAC you can follow this tutorial: https://collabnix.com/getting-started-with-genai-stack-powered-with-docker-langchain-neo4j-and-ollama/