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### What happened?
I use the where_document to filter the content of the document slices with the code below.
```python
retriever = vectordb.as_retriever(search_type="similarity_score_threshold",
…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I was facing a similar issue to the one reported #12461 .
I am performing a RAG opera…
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Now that we have a validation framework for Ex. 21 extraction, try these simple improvements and re-evaluate performance.
```[tasklist]
### Tasks
- [ ] Investigate CorpWatch dataset to see if we …
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### Problem Statement
Today, when creating a FLOAT_VECTOR, it uses the default EUCLIDEAN_HNSW (L2) similarity.
During creation time, it should be possible to provide Cosine Similarity or Dot Prod…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hello all,
How can we do filtering by a particular document name and do Q&A only on t…
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## Description
As user cannot provide context through text box each time, we need to extend our functionality to different document formats such as .pdf, .docx etc. We will add support for pdf files …
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For those who get variables error for 'docs_example', please rename the documents into 'docs_example'.
And please add `from sklearn.decomposition import NMF` for the NMF part
and `from sklearn…
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`Request`
```js
{
"_id": 'id'
}
```
or
```js
{
content: 'string content'
}
```
---
`Response`
```json
{
"hits": [
{
"score": 9.823102,
"_id": "id",
"_…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain.js documentation with the integrated search.
- [X] I used the GitHub search to find a …
-
### What happened?
I am using the vectordb.similarity_search function. I have 40k documents and one metadata filter using the function takes around 5 minutes. I am assuming that this should be a