'OpenAI' object has no attribute 'embed_documents'

[VishwasK]

Getting this error when running sample notebook in colab. Do we need some fix for RAG node
--- Executing Fetch Node ---

AttributeError Traceback (most recent call last)
in <cell line: 2>()
1 # execute the graph
----> 2 result = graph.execute({
3 "user_prompt": "List me the example with their description",
4 "url": "https://github.com/run-llama/llama_index/tree/main/docs/docs/examples"
5 })

3 frames
/usr/local/lib/python3.10/dist-packages/langchain_community/vectorstores/faiss.py in from_texts(cls, texts, embedding, metadatas, ids, **kwargs)
928 faiss = FAISS.from_texts(texts, embeddings)
929 """
--> 930 embeddings = embedding.embed_documents(texts)
931 return cls.__from(
932 texts,

AttributeError: 'OpenAI' object has no attribute 'embed_documents'

[VinciGit00]

Give the code

[VishwasK]

Thanks @VinciGit00 . I tried to run the example codebook https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing in google colab. I found error in Build custom Graph section. First Error in
rag_node = RAGNode(
input="user_prompt & (parsed_doc | doc)",
output=["relevant_chunks"],
node_config={"llm": llm_model},
)
in this section I had to replace llm with llm_model for that section to run but then the error is thrown in next section .

execute the graph

result = graph.execute({
"user_prompt": "List me the projects with their description",
"url": "https://perinim.github.io/projects/"
})

get the answer from the result

result = result.get("answer", "No answer found.")
I tried to add llm_embedder_model by defining new variable and pointing to text-embedding-3-small by modifying as below
node_config={"llm_model": llm_model, "embedder_model": llm_model_embedder,}

Even after these modifications it did not work