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... | closed | false | null | [] | null | 1 | 2023-08-08T21:28:15 | 2023-11-14T16:05:11 | 2023-11-14T16:05:10 | COLLABORATOR | null | ### Issue with current documentation:
Try https://api.python.langchain.com/en/latest/search.html?q=PubMed (a search on the "PubMed" string)
It returns too many lines.
It seems it converts every found "PubMed" string into a link. That creates duplicate links in big quantities.
### Idea or request for content:
Fix a... | {
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... | open | false | null | [] | null | 4 | 2023-08-08T19:23:10 | 2023-12-25T16:02:42 | null | NONE | null | ### Issue you'd like to raise.
I was using Langchain (map reduce) for summarization of longer documents with local HuggingFace model. I am using local models as my work prohibits me to directly connect to huggingface and/or openai.
I am having some issue in running the model. I am getting the following errors:
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https://api.github.com/repos/langchain-ai/langchain/issues/8930 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8930/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8930/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8930/events | https://github.com/langchain-ai/langchain/issues/8930 | 1,841,811,758 | I_kwDOIPDwls5tx9Eu | 8,930 | Qdrant support for async embedding functions in aadd_texts | {
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The qdrant vector store currently has an async function for adding texts to the (aadd_texts) which only supports creating embeddings with the _generate_rest_batches function synchronously.
There could be the option to add a async embedding function and aadd_texts could maybe then have a paramet... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8928 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8928/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8928/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8928/events | https://github.com/langchain-ai/langchain/issues/8928 | 1,841,767,814 | I_kwDOIPDwls5txyWG | 8,928 | n hyperparameter in AzureOpenai is not updated | {
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... | closed | false | null | [] | null | 4 | 2023-08-08T18:03:51 | 2023-11-29T09:49:10 | 2023-11-29T09:49:10 | CONTRIBUTOR | null | ### System Info
langchain==0.0.257
Python 3.8.17
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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Description:
Pinecone returns scores (not distances) with cosine similarity. The values according to the docs are [-1, 1], although I could never reproduce negative values.
This PR ensures that the score returned from Pinecone is preserved, rather than inverted, so the most relevant documents can be... | {
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Adds a utility function to filter complex (i.e. list, dict) metadata from documents. This is helpful because some vector dbs such as Chroma do not support loading list metadata. Currently, if your `Document` has a metadata item that's a list, you get the following when you run `Chroma.from_documents`.
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Replace this comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/8917 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8917/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8917/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8917/events | https://github.com/langchain-ai/langchain/issues/8917 | 1,841,431,623 | I_kwDOIPDwls5twgRH | 8,917 | SearchFieldDataType.Single raises error in azuresearch.py, under AzureSearch() class. | {
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Platform: MacOS
Python version: Python 3.10.12
LangChain version: 0.0.257
Azure Search package version: 1.0.0b2
Azure Search Document package version: 11.3.0
azure-search==1.0.0b2
azure-search-documents==11.3.0
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_No response_
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Add missing import for initialize_agent to awslambda agent example
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Fixed inaccurate import in integrations:providers:bedrock documentation
In the current version of the bedrock documentation, page https://python.langchain.com/docs/integrations/providers/bedrock it states that the import is from langchain import Bedrock
This has been changed to from langchain.llms.b... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8914 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8914/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8914/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8914/events | https://github.com/langchain-ai/langchain/pull/8914 | 1,841,258,775 | PR_kwDOIPDwls5Xbklr | 8,914 | feat(integration): Add support to serialize protobufs in WandbTracer | {
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@agola11
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LangChain version - 0.0.257
### Who can help?
_No response_
### Information
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- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
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`0.0.257`
### Who can help?
_No response_
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- Description: I have added an example showing how to pass a custom template to ConversationRetrievalChain. Instead of CONDENSE_QUESTION_PROMPT we can pass any prompt in the argument condense_question_prompt. Look in Use cases -> QA over Documents -> How to -> Store and reference chat history,
- Issue: #8864,
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- add tests to trajectory eval chain
<!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: add tests to trajectory eval chain
- Issue: None
- Dependencies: None
- Tag maintainer: @baskaryan
- Twitter handle:@MLOpsJ
Please make sure you're PR is passing l... | {
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- Description: Improved query of BGE embeddings after talking with the devs of BGE embeddings ,
- Dependencies: any dependencies required for this change,
- Tag maintainer: @hwchase17 ,
- Twitter handle: @ManabChetia3 | {
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langchain = 0.0.251
Python = 3.10.11
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
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Implement a Chat Message History class backed up by Google Cloud Firestore.
### Motivation
It's a common No-SQL database, used by a lot of people to build MVPs, due to its friendly pricing.
### Your contribution
I'd submit a PR to implement this, if you guys think that it could be a helpful... | {
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I'm looking for a way to add entries to a vector store when the embeddings already exist and I don't want to calculate them again. However, it seems like this is not possible with langchain at the moment. Maybe something like an `add_entries()` function would be nice, where the data needs to be exa... | {
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Name: langchain
Version: 0.0.256
platform: Linux
Python 3.9.16
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langchain v0.0.254
python 3.11
### Who can help?
In this commit https://github.com/langchain-ai/langchain/commit/81e5b1ad362e9e6ec955b6a54776322af82050d0#diff-5d00673e4963a0b2c6bf091d22f98c30d267b20fea4d15d9541ba6d1f5d79e4fR20 inheritance from `Serializable` was introduced. This inheritance is... | {
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... | closed | false | null | [] | null | 5 | 2023-08-08T04:51:50 | 2023-08-09T00:02:35 | 2023-08-09T00:02:35 | CONTRIBUTOR | null | <!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: on_llm_start could change prompts
- Issue: the issue #8725
- Tag maintainer: @baskaryan @agola11
Maintainer responsibilities:
- General / Misc / if you don't know who to tag: @baskaryan
- DataLoaders / Vector... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8899 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8899/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8899/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8899/events | https://github.com/langchain-ai/langchain/issues/8899 | 1,840,506,624 | I_kwDOIPDwls5ts-cA | 8,899 | Type Mismatch For using OpenAI Interface | {
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"id":... | closed | false | null | [] | null | 4 | 2023-08-08T03:37:55 | 2023-08-08T10:56:43 | 2023-08-08T10:56:43 | NONE | null | ### System Info
I use OpenAIEmbeddings from langchain.embedding, and using openAI function.
However I find it's a problem that when we call OpenAI Interface, the input is a 2D list, not a 1D list.
If the input is a 1D list, it could work for embedding.create func
like this:
![image](https://github.com/lan... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8898 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8898/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8898/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8898/events | https://github.com/langchain-ai/langchain/issues/8898 | 1,840,501,592 | I_kwDOIPDwls5ts9NY | 8,898 | how to expand the integrated content | {
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Hello, how to expand the integrated content, such as the SQLDatabaseToolkit class, after executing the existing tools to continue other work, I checked the following code in the SQLDatabaseToolkit class,`
def get_tools(self) -> List[BaseTool]:
"""Get the tools in the too... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8897 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8897/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8897/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8897/events | https://github.com/langchain-ai/langchain/issues/8897 | 1,840,497,093 | I_kwDOIPDwls5ts8HF | 8,897 | How to retrieve vectors by ids for LangChain vectorstore FAISS? | {
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"id": 56... | closed | false | null | [] | null | 6 | 2023-08-08T03:26:19 | 2023-08-09T08:15:18 | 2023-08-09T08:15:18 | NONE | null | ### Feature request
In Qdrant vectorstore, we have a method:
```
def retrieve(
self,
collection_name: str,
ids: Sequence[types.PointId],
with_payload: Union[bool, Sequence[str], types.PayloadSelector] = True,
with_vectors: Union[bool, Sequence[str]... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8895 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8895/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8895/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8895/events | https://github.com/langchain-ai/langchain/pull/8895 | 1,840,451,107 | PR_kwDOIPDwls5XY2CP | 8,895 | Add base storage interface, 2 implementations and utility encoder | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-08-08T02:20:05 | 2023-08-08T21:29:07 | 2023-08-08T21:29:06 | COLLABORATOR | null | This PR defines an abstract interface for key value stores.
It provides 2 implementations:
1. Local File System
2. In memory -- used to facilitate testing
It also provides an encoder utility to help take care of serialization from arbitrary data to data that can be stored by the given store | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8893 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8893/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8893/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8893/events | https://github.com/langchain-ai/langchain/pull/8893 | 1,840,400,142 | PR_kwDOIPDwls5XYrZg | 8,893 | `PubMed` document loader | {
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... | closed | false | null | [] | null | 1 | 2023-08-08T00:59:30 | 2023-08-08T18:38:15 | 2023-08-08T18:26:03 | COLLABORATOR | null | - added `PubMed Document Loader` artifacts; ut-s; examples
- fixed `PubMed utility`; ut-s
@hwchase17
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- Tag maintainer: @rlancemartin, @eyurtsev | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8890 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8890/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8890/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8890/events | https://github.com/langchain-ai/langchain/pull/8890 | 1,840,309,765 | PR_kwDOIPDwls5XYXrU | 8,890 | Change default Metaphor search example to use prompt optimizer | {
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- change example notebook to use Metaphor autoprompt by default
<!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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v0.0.256
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
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Add format/lint actions to the pre-commit tool, so user's don't have to run these locally on their machines. This is a 2 stage process:
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2. Adding thi... | {
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@rlancemartin, @eyurtsev, @agola11 | {
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@baskaryan
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Based on https://github.com/hwchase17/conversational-retrieval-agent/blob/master/streamlit.py, did few changes to code.
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@hwchase17
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Hi, Im using ConversationalRetrievalChain.from_llm and I notice that sometimes the answer is the following up question.
Also sometimes the answer generates a few Q and A all togheter.
Anyone with the same problem?
regards.
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_No response_ | {
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Now, we can pass information like a JWT token using user_context:
```python
self.retriever = AmazonKendraRetriever(index_id=kendraIndexId, user_context={"Token": jwt_token})
```
- [x] `make lint`
- [x] `make format`
- [x] `make test`
Also tested by pip installing in my own project, an... | {
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Agents can deal with prompts in different languages, but they might get confused or more unreliable if the internal prompts (e.g. format structure with the action, action input, thought etc.) are still in English.
That's why I thought about an additional language option when initializing an agen... | {
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When using supabase client I get dependency errors, which I believe originate from the pydantic library
Supabase uses requires pydantic<3.0,>=2.1.0
Langchain requires (I guess) 1.10.12
With langchain compatible pydantic versions, supabase errors out.
``` python
from supa... | {
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I'm trying to chat with a PDF using ConversationalRetrievalChain.
```
embeddings = OpenAIEmbeddings()
vectordb = Chroma(embedding_function=embeddings, persist_directory=directory)
qa_chain = ConversationalRetrievalChain.from_llm(ChatOpenAI(model_name="gpt-3.5-turbo", temperature=... | {
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Currently GCSFileLoader uses UnstructuredFileLoader in a pre-defined mode, but it would be nice to allow to specify different pdf or other loaders.
### Motivation
Allow to specify loaders when working with files from GCS.
### Your contribution
yes, I'm happy to. | {
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Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below)... | {
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Can we get ttl and sessionId in UpstashRedisCache ?
### Motivation
cleaning cache
### Your contribution
suggestion | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8859 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8859/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8859/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8859/events | https://github.com/langchain-ai/langchain/pull/8859 | 1,839,195,741 | PR_kwDOIPDwls5XUk9H | 8,859 | fix evaluation parse test | {
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... | closed | false | null | [] | null | 1 | 2023-08-07T10:51:11 | 2023-08-07T18:15:41 | 2023-08-07T18:15:41 | CONTRIBUTOR | null | # What
- fix evaluation parse test
<!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: Fix evaluation parse test
- Issue: None
- Dependencies: None
- Tag maintainer: @baskaryan
- Twitter handle: @MLOpsJ
Please make sure you're PR is passing linting and testin... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8858 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8858/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8858/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8858/events | https://github.com/langchain-ai/langchain/issues/8858 | 1,839,139,204 | I_kwDOIPDwls5tnwmE | 8,858 | TypeError("'NoneType' object is not callable") | {
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"node_id... | closed | false | null | [] | null | 4 | 2023-08-07T10:15:56 | 2023-11-16T16:06:31 | 2023-11-16T16:06:30 | NONE | null | ### System Info
OS: Redhat 8
Python: 3.9
Langchain: 0.0.246
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8857 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8857/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8857/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8857/events | https://github.com/langchain-ai/langchain/issues/8857 | 1,838,913,498 | I_kwDOIPDwls5tm5fa | 8,857 | Bug with os.environ['FAISS_NO_AVX2'] = '1' | {
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I was trying to create FAISS embeddings that would work on different platforms so I tried to use:
`os.environ['FAISS_NO_AVX2'] = '1' `
as recommended in https://github.com/langchain-ai/langchain/blob/6cdd4b5edca511b0015f1b39102225fe638d8359/langchain/vectorstores/faiss.py
It works for windows, b... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8856 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8856/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8856/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8856/events | https://github.com/langchain-ai/langchain/pull/8856 | 1,838,895,297 | PR_kwDOIPDwls5XTjhI | 8,856 | Fix/abstract add message | {
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"node_... | closed | false | null | [] | null | 1 | 2023-08-07T07:53:03 | 2023-08-07T18:02:20 | 2023-08-07T18:02:20 | CONTRIBUTOR | null | <!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: Fix/abstract add message
- Issue: None
- Dependencies: None
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below),
- Twitter handle: @MLOpsJ
Please make sure you're PR is passing lint... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8855 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8855/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8855/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8855/events | https://github.com/langchain-ai/langchain/issues/8855 | 1,838,870,679 | I_kwDOIPDwls5tmvCX | 8,855 | Separate LLMs for Tool Selection and Chatting in Agent Initialization | {
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Currently when we initialize an agent we can only pass one llm which is responsible for both tool selection and chatting. There should be a feature that would allows us to define seperate llms for tool selection and chatting respectively.
### Motivation
It has been observed that text llms are be... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8854 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8854/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8854/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8854/events | https://github.com/langchain-ai/langchain/issues/8854 | 1,838,826,396 | I_kwDOIPDwls5tmkOc | 8,854 | Issue: Having trouble passing question with LangSmith | {
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Hello! I am trying to use LangSmith to test my LLM. I've created a dataset, but I'm confused, as this dataset doesn't seem to work even though I am using `StuffDocumentsChain` in testing (I think) the same way I'm using it in production. Here's how I call it in production:
```
docs_c... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8853 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8853/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8853/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8853/events | https://github.com/langchain-ai/langchain/pull/8853 | 1,838,824,280 | PR_kwDOIPDwls5XTUmz | 8,853 | Bagel master | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8852 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8852/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8852/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8852/events | https://github.com/langchain-ai/langchain/issues/8852 | 1,838,777,588 | I_kwDOIPDwls5tmYT0 | 8,852 | Issue: AssertionError: Unknown arguments: ['fetch_k', 'maximal_marginal_relevance'] when specifyig search_kwargs ini from_llm() function call | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-08-07T06:33:40 | 2023-08-07T16:20:46 | 2023-08-07T16:20:46 | NONE | null | ### Issue you'd like to raise.
Hi there, I am recently using Langchain to build my toy chatbot. I used both **Qdrant** cloud storage and local storage for test. However, when I am using local storage for **vector_store** and **search_kwargs**, everything is good. But, when I switch to the Qdrant cloud storage, the r... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8851 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8851/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8851/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8851/events | https://github.com/langchain-ai/langchain/issues/8851 | 1,838,761,710 | I_kwDOIPDwls5tmUbu | 8,851 | Visualize the Networkx Entity Graph created via the GraphIndexCreator class using pyvis/matplotlib | {
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```
from langchain.indexes import GraphIndexCreator
from langchain.graphs.networkx_graph import KnowledgeTriple
index_creator = GraphIndexCreator(llm=llm)
graph = index_creator.from_text('text to RDF')
graph.add_triple(KnowledgeTriple('aaa', '10', 'bbb'))
graph.add_triple(KnowledgeTriple('c... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8850 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8850/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8850/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8850/events | https://github.com/langchain-ai/langchain/issues/8850 | 1,838,703,116 | I_kwDOIPDwls5tmGIM | 8,850 | Issue: Support for Custom VertexAI models | {
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This is more like a question than feature request.
Google Vertex AI has support for some task specific models which are specially trained for certain action.
I know Langchain has support for LLM based models in general but do you ever plan to integrate these task specific models in ... | {
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Langchain version: `0.0.254`
Python version: `3.10.2`
Elasticsearch version: `7.17.0`
System Version: macOS 13.4 (22F66)
Model Name: MacBook Pro
Model Identifier: Mac14,10
Chip: Apple M2 Pro
Total Number of Cores: 12 (8 performance and 4 efficiency)
Memory: 32 GB
### Who can help?
@agol... | {
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currently,
im using openAI GPT3.5 for models and chroma DB to save vector.
i have some pdf documents which is have 2000 total pages. the pages will increase about 100 pages every day.
and at the end, the total target page that must be inputed is around 20.000 pages.
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Updated the doc snippet on this topic as well. It took me a long while to figure out how to filter the vectorstore by filename, so this might help someon... | {
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----> 1 from langchain.schema import messages_to_dict
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Langchain version: 0.0.253
Python:3.11
### Who can help?
@agola11 @hwchase17 @eyurtsev
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selecto... | {
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Langchain version: `0.0.240`
Python version: `3.10.2`
Elasticsearch version: `7.17.0`
System Version: macOS 13.4 (22F66)
Model Name: MacBook Pro
Model Identifier: Mac14,10
Chip: Apple M2 Pro
Total Number of Cores: 12 (8 performance and 4 efficiency)
Memory: 32 GB
### Who can help?
@hwch... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8835 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8835/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8835/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8835/events | https://github.com/langchain-ai/langchain/pull/8835 | 1,838,308,471 | PR_kwDOIPDwls5XRm0E | 8,835 | Add: USearch Vector Store | {
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I am excited to propose an integration with USearch, a lightweight vector-search engine available for both Python and JavaScript, among other languages.
## Dependencies
It introduces a new PyPi dependency - `usearch`. I am unsure if it must be added to the Poetry file, as this would make the PR ... | {
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since 1.29.0, Vertex SDK supports a chat history provided to a codey chat model. | {
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[DingoDB](https://dingodb.readthedocs.io/en/latest/) is a distributed multi-mode vector database, which combines the characteristics of data lakes and vector databases. It has real-time low-latency processing capabilities to achieve rapid insight and response, and can efficiently conduct instant analysis ... | {
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"diff_url": "https://github.com/langchain-ai/langchain/pull/8828.diff",
"patch_url": "https://github.com/langchain-ai/langchain/pull/8828.patch",
"merged_at": null
} |
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