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PineconeStore namespace filter not working PineconeArgumentError: You must enter a filter object with at least one key-value pair #6926

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lynicis opened this issue Oct 3, 2024 · 2 comments
Labels
auto:bug Related to a bug, vulnerability, unexpected error with an existing feature

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@lynicis
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lynicis commented Oct 3, 2024

Checked other resources

  • I added a very descriptive title to this issue.
  • I searched the LangChain.js documentation with the integrated search.
  • I used the GitHub search to find a similar question and didn't find it.
  • I am sure that this is a bug in LangChain.js rather than my code.
  • The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

const pineconeClient = new Pinecone({ apiKey: "secret" });
const vectorStore = await PineconeStore.fromExistingIndex(new OpenAIEmbeddings(...), { 
    pineconeIndex: pineconeClient.Index("indexName"),
});

vectorStore.asRetriever({ filter: { namespace: "foo" } });
const result = await retriever.invoke("are you human?");

Error Message and Stack Trace (if applicable)

PineconeArgumentError: You must enter a filter object with at least one key-value pair.
at QueryCommand.QueryCommand.validator (/node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/src/data/query.ts:147:15)
at QueryCommand. /node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/src/data/query.ts:180:10)
at step (/node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/dist/data/query.js:44:23)
at Object.next (/node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/dist/data/query.js:25:53)
at /node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/dist/data/query.js:19:71
at new Promise ()
at __awaiter (/node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/dist/data/query.js:15:12)
at QueryCommand.QueryCommand.run (//node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/src/data/query.ts:179:32)
at Index. (/node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/src/data/index.ts:477:37)
at step (/node_modules/.pnpm/@pinecone-database [email protected]/node_modules/@pinecone-database/pinecone/dist/data/index.js:33:23)

Description

I'm trying use Pinecone retriever with namespace filter but throws an error

System Info

yarn info v1.22.22
{
name: 'langchain',
'dist-tags': {
next: '0.3.2-rc.0',
latest: '0.3.2',
'tag-for-publishing-older-releases': '0.2.20'
},
versions: [
'0.0.4',
'0.0.5',
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time: {
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gitHead: '67574efc941f455d6f08693cd78f827a6bce7525',
scripts: {
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test: 'NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\.int\.test.ts --testTimeout 30000 --maxWorkers=50%',
build: 'yarn turbo:command build:internal --filter=langchain',
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format: 'prettier --config .prettierrc --write "src"',
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}
pnpm: 9.11.0
node: v20.17.0

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dosubot bot commented Oct 3, 2024

A similar issue was reported in the LangChain.js repository, where the namespace filter was not working when querying a Pinecone index using VectorDBQAChain [1]. The issue was closed, but it might provide some insights into your problem.

Regarding your error, the PineconeArgumentError indicates that the filter object must contain at least one key-value pair. In your code, the filter object is correctly structured with a namespace key, which should be valid. However, ensure that the namespace value is correctly set and matches the expected namespace in your Pinecone index.

Additionally, make sure that you are not providing both a filter argument and a this.filter in the PineconeStore instance, as this can also cause an error [2]. If the issue persists, double-check the configuration and ensure that the Pinecone index and namespace are correctly set up.

To continue talking to Dosu, mention @dosu.

@dosubot dosubot bot added the auto:bug Related to a bug, vulnerability, unexpected error with an existing feature label Oct 3, 2024
@lynicis
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lynicis commented Nov 14, 2024

is there any update or workaround?

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