-
**#searchEngine**
import os
import nltk
import string
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
# S…
-
### Description
When opening file that exist in Download folder of Android device, it throws System.UnauthorizedAccessException: 'Access to the path '/storage/emulated/0/Download/HelloWorld/docx' i…
-
### Feature Description
Implement a clustering-based retrieval method for RAG pipelines using algorithms like DBSCAN. This feature would cluster document embeddings during indexing and retrieve docum…
-
Please do a quick search on GitHub issues first, there might be already a duplicate issue for the one you are about to create.
If the bug is trivial, just go ahead and create the issue. Otherwise, pl…
-
Electron build - `9bf8a0660d4ad`
Knowlege tool version - `v0.4.13`
**Steps to reproduce the problem:**
1. Create an assistant and add file -
[2023q4-alphabet-earnings-release.pdf](https://git…
-
### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
-
### Bug Description
The retriever on graph index makes an assertion statement false. The assertion is the the following:
assert isinstance(node, BaseNode) or node is None
That is present inside t…
-
## Description
For some unknown reason I cannot perform the "similarity search" example on my documents. It gives me `Document referenced in vector query does not contain a valid vector field.` al…
-
I am fairly new to ML/AI so I apologise before hand if I misunderstood things.
Q: Given multiple large document, find the similarity of a given document to all the other documents.
To answer thi…
-
The README claims that similarities between documents and queries shouldn't be greater than 1. However:
``` python
table = tfidf.tfidf()
table.addDocument("foo", ["alpha", "bravo", "charlie", "delta"…