chore: Updated packages, default model for Cohere and default Docker …

…environment variables.

.env.docker

@@ -42,26 +42,26 @@ OLLAMA_URL = "http://localhost:11434"
 OLLAMA_MODEL = "llama3"
 
 # Large language model
-LLM_REQUEST_TIMEOUT = 120
-LLM_TEMPERATURE = 0.4
+LLM_REQUEST_TIMEOUT = "120"
+LLM_TEMPERATURE = "0.4"
 # Customise the message as needed
 LLM_SYSTEM_MESSAGE = "You are an intelligent assistant. You provide concise and informative responses to questions from the user using only the information given to you as context. If you are unsure about an answer or if the user question cannot be answered using information in the context then say that you do not know. If you can, quote the actual text from the context as a reference with your answer."
-LLM_CHUNK_SIZE = 512
-LLM_CHUNK_OVERLAP = 64
+LLM_CHUNK_SIZE = "512"
+LLM_CHUNK_OVERLAP = "64"
 
 # Knowledge graph index and chat engine
-INDEX_MEMORY_TOKEN_LIMIT = 8192
-INDEX_MAX_TRIPLETS_PER_CHUNK = 16
+INDEX_MEMORY_TOKEN_LIMIT = "8192"
+INDEX_MAX_TRIPLETS_PER_CHUNK = "16"
 INDEX_CHAT_MODE = "context"
 INDEX_INCLUDE_EMBEDDINGS = "True"
 
 # Knowledge graph visualisation
 # This height is in pixels
-KG_VIS_HEIGHT = 800
+KG_VIS_HEIGHT = "800"
 # Acceptable layout options are "circular", "planar", "shell", "spectral", "spring" and "spring" is the default
 KG_VIS_LAYOUT = "spring"
 KG_VIS_PHYSICS_ENABLED = "True"
-KG_VIS_MAX_NODES = 100
+KG_VIS_MAX_NODES = "100"
 
 # Performance evaluation using Langfuse
 # See: https://langfuse.com/docs/sdk/python

README.md

@@ -49,7 +49,7 @@ You can specify the language model provider to use by using the environment vari
 
 If using [Ollama](https://ollama.com/), you will also need to install it or, point the chatbot to a remotely hosted Ollama server. You also need to pull the Ollama model that you specify with `OLLAMA_MODEL` environment variable using `ollama pull <model-name>` (replace `<model-name>` with the actual model that you want to use) on your Ollama server. Check the [available Ollama models](https://ollama.com/library).
 
-Open AI can be used by specifying an `OPENAI_API_KEY`, an `OPENAI_MODEL`, and by choosing `Open AI` as the `LLM_PROVIDER`. Follow [this link](https://platform.openai.com/account/api-keys) to get an Open AI API key. Similarly, Cohere can be used by specifying a `COHERE_API_KEY`, a `COHERE_MODEL` (which defaults to `command-r`), and by choosing `Cohere` as the `LLM_PROVIDER`. Follow [this link](https://cohere.com/pricing) to obtain a Cohere API key.
+Open AI can be used by specifying an `OPENAI_API_KEY`, an `OPENAI_MODEL`, and by choosing `Open AI` as the `LLM_PROVIDER`. Follow [this link](https://platform.openai.com/account/api-keys) to get an Open AI API key. Similarly, Cohere can be used by specifying a `COHERE_API_KEY`, a `COHERE_MODEL` (which defaults to `command-r-plus`), and by choosing `Cohere` as the `LLM_PROVIDER`. Follow [this link](https://cohere.com/pricing) to obtain a Cohere API key.
 
 See the settings in the `.env.template` file customisation of the LLM settings.
 

requirements.txt

@@ -1,46 +1,60 @@
 altair==5.3.0
 async-timeout==4.0.3
-blinker==1.8.1
+autopep8==2.1.0
+blinker==1.8.2
 bs4==0.0.2
 cachetools==5.3.3
 chevron==0.14.0
 exceptiongroup==1.2.1
+fqdn==1.5.1
 GitPython==3.1.43
+ipdb==0.13.13
+isoduration==20.11.0
 jsonpatch==1.33
+jupytext==1.16.2
 langcodes==3.4.0
-langfuse==2.29.0
+langfuse==2.29.1
 linkpreview==0.9.0
-llama-index==0.10.34
+llama-index==0.10.35
 llama-index-embeddings-cohere==0.1.8
 llama-index-embeddings-ollama==0.1.2
 llama-index-graph-stores-neo4j==0.1.4
 llama-index-llms-cohere==0.1.6
 llama-index-llms-ollama==0.1.3
 llama-index-postprocessor-cohere-rerank==0.1.4
 llama-index-readers-papers==0.1.4
-llama-index-readers-web==0.1.12
+llama-index-readers-web==0.1.13
 llama-index-readers-wikipedia==0.1.4
 llama-index-storage-docstore-redis==0.1.2
 llama-index-storage-index-store-redis==0.1.2
 matplotlib==3.8.4
+notebook==6.5.7
 ollama==0.1.9
 orjson==3.10.3
+papermill==2.6.0
 pip==24.0
+ploomber-cloud==0.2.6
+ploomber-engine==0.0.32
+ploomber-scaffold==0.3.1
 protobuf==5.26.1
 pyarrow==16.0.0
 pydeck==0.9.0
+pyflakes==3.2.0
 pymdown-extensions==10.8.1
 PyMuPDF==1.24.2
 PySocks==1.7.1
-python-dotenv==1.0.1
 pyvis==0.3.2
 sentence-transformers==2.7.0
 solara==1.32.1
+sqlparse==0.5.0
 starlette==0.37.2
+tabulate==0.9.0
 toml==0.10.2
 trafilatura==1.9.0
+uri-template==1.3.0
 uvicorn==0.29.0
 watchdog==4.0.0
 watchfiles==0.21.0
+webcolors==1.13
 websockets==12.0
 wikipedia==1.4.0

utils/constants.py

@@ -131,7 +131,7 @@
 DEFAULT_SETTING_LLM_PROVIDER = "Ollama"
 DEFAULT_SETTING_OLLAMA_URL = "http://localhost:11434"
 DEFAULT_SETTING_OLLAMA_MODEL = "llama3"
-DEFAULT_SETTING_COHERE_MODEL = "command-r"
+DEFAULT_SETTING_COHERE_MODEL = "command-r-plus"
 DEFAULT_SETTING_OPENAI_MODEL = "gpt-3.5-turbo-0125"
 
 DEFAULT_SETTING_LLM_REQUEST_TIMEOUT = "120"