https://learning.oreilly.com/course/langchain-masterclass/9781835464427/
https://github.com/PacktPublishing/LangChain-MasterClass---Build-15-OpenAI-and-LLAMA-2-LLM-Apps-using-Python/tree/main
Topics covered:
Streamlit:
For quick web UI prototyping
OpenAI LLM, audio transcription.
HuggingFace hosted models
Google Colab - for using huggingface transformers which download the model locally.
Running Llama 2 locally via CTransformers or via Replicate API
DuckduckGo search
Prompt Templates:
FewShotPromptTemplate, Length based example selector
Splitters:
RecursiveCharacterTextSplitter
CharacterTextSplitter
Embeddings:
SentenceTransformerEmbeddings
OpenAIEmbeddings
similarity_search
Response formatter/output parser:
csv
json
Vector DBs:
Pinecone - hosted
Chroma - local
FAISS(not typically used as vector db, but for similarity search etc)
Memory:
ConversationSummaryMemory
TokenBuffer
WindowBuffer
ConversationBuffer
Agents:
Pandas dataframe agent - to run some python code to analyze csv data
Chains:
Utility Chains:
Load_Summarize_Chain - load and summarize docs
LLMRequestsChain - to fetch a url
Others:
SequentialChain
chain_type=stuff/map_reduce
