Add Tools

[thesushilsharma]

1. APIs and Cloud services to offload the sentiments analysis task to pre-built Ml models
2. Web Scraping libraries
3. Database Connectors: For example, libraries like psycopg2 for PostgreSQL, pymysql for MySQL, or pymongo for MongoDB enable LLMs to interact with the respective databases, perform queries, retrieve data, and update records.
4. Using libraries that can provide additional functionalities, such as natural language processing (NLP) libraries like NLTK or spaCy, machine learning libraries like TensorFlow or PyTorch, data manipulation libraries like Pandas, and many others.

[homanp]

1. APIs and Cloud services to offload the sentiments analysis task to pre-built Ml models
2. Web Scraping libraries
3. Database Connectors: For example, libraries like psycopg2 for PostgreSQL, pymysql for MySQL, or pymongo for MongoDB enable LLMs to interact with the respective databases, perform queries, retrieve data, and update records.
4. Using libraries that can provide additional functionalities, such as natural language processing (NLP) libraries like NLTK or spaCy, machine learning libraries like TensorFlow or PyTorch, data manipulation libraries like Pandas, and many others.

I was planning on adding these tools:

• Search tools
• Wolfram Alpha
• Zapier NLA API
• API retrieval tools
• Document retrieval tools

[smyja]

1. APIs and Cloud services to offload the sentiments analysis task to pre-built Ml models
2. Web Scraping libraries
3. Database Connectors: For example, libraries like psycopg2 for PostgreSQL, pymysql for MySQL, or pymongo for MongoDB enable LLMs to interact with the respective databases, perform queries, retrieve data, and update records.
4. Using libraries that can provide additional functionalities, such as natural language processing (NLP) libraries like NLTK or spaCy, machine learning libraries like TensorFlow or PyTorch, data manipulation libraries like Pandas, and many others.

MindsDb can be used for number 4. Llamaindex should also be added they have numerous data loaders.

[homanp]

1. APIs and Cloud services to offload the sentiments analysis task to pre-built Ml models
2. Web Scraping libraries
3. Database Connectors: For example, libraries like psycopg2 for PostgreSQL, pymysql for MySQL, or pymongo for MongoDB enable LLMs to interact with the respective databases, perform queries, retrieve data, and update records.
4. Using libraries that can provide additional functionalities, such as natural language processing (NLP) libraries like NLTK or spaCy, machine learning libraries like TensorFlow or PyTorch, data manipulation libraries like Pandas, and many others.

MindsDb can be used for number 4. Llamaindex should also be added they have numerous data loaders.

Great! I will create some issues for some of these!

[lightningRalf]

1. APIs and Cloud services to offload the sentiments analysis task to pre-built Ml models
2. Web Scraping libraries
3. Database Connectors: For example, libraries like psycopg2 for PostgreSQL, pymysql for MySQL, or pymongo for MongoDB enable LLMs to interact with the respective databases, perform queries, retrieve data, and update records.
4. Using libraries that can provide additional functionalities, such as natural language processing (NLP) libraries like NLTK or spaCy, machine learning libraries like TensorFlow or PyTorch, data manipulation libraries like Pandas, and many others.

for 2. crawlee https://github.com/apify/crawlee for 4.: ML - Libary: tinygrad https://github.com/geohot/tinygrad for 4: additional functionalities: Aim for tracing: https://github.com/aimhubio/aim

and how about a code interpreter? that can automatically run the code? similar to here: https://github.com/Josh-XT/AGiXT/blob/main/agixt/commands/execute_code.py

[homanp]

1. APIs and Cloud services to offload the sentiments analysis task to pre-built Ml models
2. Web Scraping libraries
3. Database Connectors: For example, libraries like psycopg2 for PostgreSQL, pymysql for MySQL, or pymongo for MongoDB enable LLMs to interact with the respective databases, perform queries, retrieve data, and update records.
4. Using libraries that can provide additional functionalities, such as natural language processing (NLP) libraries like NLTK or spaCy, machine learning libraries like TensorFlow or PyTorch, data manipulation libraries like Pandas, and many others.

for 2. crawlee https://github.com/apify/crawlee for 4.: ML - Libary: tinygrad https://github.com/geohot/tinygrad for 4: additional functionalities: Aim for tracing: https://github.com/aimhubio/aim

and how about a code interpreter? that can automatically run the code? similar to here: https://github.com/Josh-XT/AGiXT/blob/main/agixt/commands/execute_code.py

I've thought about a REPL for that, needs to be an a separate env though. But definitely in scope.