Not sure what happened here but some of the file got overwritten by
#2859 which broke filtering logic.
Here is it fixed back to normal.
@hwchase17 can we expedite this if possible :-)
---------
Co-authored-by: Altay Sansal <altay.sansal@tgs.com>
Add a time-weighted memory retriever and a notebook that approximates a
Generative Agent from https://arxiv.org/pdf/2304.03442.pdf
The "daily plan" components are removed for now since they are less
useful without a virtual world, but the memory is an interesting
component to build off.
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
- Modify SVMRetriever class to add an optional relevancy_threshold
- Modify SVMRetriever.get_relevant_documents method to filter out
documents with similarity scores below the relevancy threshold
- Normalized the similarities to be between 0 and 1 so the
relevancy_threshold makes more sense
- The number of results are limited to the top k documents or the
maximum number of relevant documents above the threshold, whichever is
smaller
This code will now return the top self.k results (or less, if there are
not enough results that meet the self.relevancy_threshold criteria).
The svm.LinearSVC implementation in scikit-learn is non-deterministic,
which means
SVMRetriever.from_texts(["bar", "world", "foo", "hello", "foo bar"])
could return [3 0 5 4 2 1] instead of [0 3 5 4 2 1] with a query of
"foo".
If you pass in multiple "foo" texts, the order could be different each
time. Here, we only care if the 0 is the first element, otherwise it
will offset the text and similarities.
Example:
```python
retriever = SVMRetriever.from_texts(
["foo", "bar", "world", "hello", "foo bar"],
OpenAIEmbeddings(),
k=4,
relevancy_threshold=.25
)
result = retriever.get_relevant_documents("foo")
```
yields
```python
[Document(page_content='foo', metadata={}), Document(page_content='foo bar', metadata={})]
```
---------
Co-authored-by: Brandon Sandoval <52767641+account00001@users.noreply.github.com>
This allows to adjust the number of results to retrieve and filter
documents based on metadata.
---------
Co-authored-by: Altay Sansal <altay.sansal@tgs.com>
Davis Chase