Add support for pinecone vector DB about langchain

[louis030195]

@hwchase17 Hey, not sure this is usable now with Pinecone?

Hesitated to create an issue for this

ApiException: (400)
Reason: Bad Request
HTTP response headers: HTTPHeaderDict({'content-type': 'text/plain; charset=UTF-8', 'date': 'Wed, 11 Jan 2023 16:36:26 GMT', 'content-length': '131', 'x-envoy-upstream-service-time': '2133', 'server': 'envoy'})
HTTP response body: The index exceeds the project quota of 1 pods by 1 pods. Upgrade your account or change the project settings to increase the quota.

However I have given an existing Pinecone index

from langchain.docstore.document import Document
from langchain.vectorstores.pinecone import Pinecone
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores.faiss import FAISS
from langchain.text_splitter import CharacterTextSplitter
from langchain import OpenAI, VectorDBQA

o = OpenAIEmbeddings()
p = Pinecone(index, o.embed_query, "content")
p.from_documents(
    documents=[
        Document(
            page_content=e.metadata["content"],
            metadata=e.metadata,
        )
        for e in response.matches
    ],
    embedding=o
)

[hwchase17]

hmm looks like an issue in your pinecone account?

[louis030195]

langchain is trying to create a new index while I passed an existing one (and of course it fails because free plan is limited to one index)

[dosubot]

Hi, @hwchase17! I'm Dosu, and I'm helping the LangChain team manage their backlog. I wanted to let you know that we are marking this issue as stale.

From what I understand, you opened this issue requesting support for the pinecone vector DB. There was some discussion between you and louis030195 regarding an error related to the project quota when using Pinecone. It was discovered that the error occurred because langchain was trying to create a new index instead of using an existing one, which is limited to one index on the free plan.

Before we close this issue, we wanted to check with you if it is still relevant to the latest version of the LangChain repository. If it is, please let us know by commenting on the issue. Otherwise, feel free to close the issue yourself or it will be automatically closed in 7 days.

Thank you for your understanding and contribution to the LangChain project!