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https://api.github.com/repos/langchain-ai/langchain/issues/15232 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15232/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15232/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15232/events | https://github.com/langchain-ai/langchain/issues/15232 | 2,057,799,134 | I_kwDOIPDwls56p4Xe | 15,232 | HuggingFace Chat Wrapper - issue with HuggingFaceHub | {
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... | open | false | null | [] | null | 3 | 2023-12-27T21:52:37 | 2023-12-27T22:02:49 | null | NONE | null | ### Issue with current documentation:
I am currently following the document to use a hugigngface LLM as a chat model: https://python.langchain.com/docs/integrations/chat/huggingface
I have setup my Huggingface API and am using Option 3 (HuggingFaceHub) to instantiate an LLM.
After running this line: chat_model.... | {
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... | closed | false | null | [] | null | 3 | 2023-12-27T21:01:42 | 2024-01-02T17:44:01 | 2024-01-02T17:44:00 | COLLABORATOR | null | Several output parsers belong to the `langchain_community` package.
- Created `langchain_community.output_parsers` namespace
- Moved several parsers to community package | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15230 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15230/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15230/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15230/events | https://github.com/langchain-ai/langchain/pull/15230 | 2,057,748,205 | PR_kwDOIPDwls5i2Wcw | 15,230 | ModelIO revamp | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15229 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15229/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15229/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15229/events | https://github.com/langchain-ai/langchain/pull/15229 | 2,057,706,512 | PR_kwDOIPDwls5i2Njp | 15,229 | Add .pick and .assign methods to Runnable | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15228 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15228/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15228/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15228/events | https://github.com/langchain-ai/langchain/issues/15228 | 2,057,694,401 | I_kwDOIPDwls56pezB | 15,228 | TypeError: _ChatSessionBase.send_message() got an unexpected keyword argument 'candidate_count' | {
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... | open | false | null | [] | null | 1 | 2023-12-27T19:07:13 | 2023-12-27T19:12:44 | null | NONE | null | ### Issue you'd like to raise.
@dosu-bot Currently im experiencing an old bug that was supposed to be fixed patches ago.
```
File "/layers/google.python.pip/pip/lib/python3.10/site-packages/flask/app.py", line 1455, in wsgi_app
response = self.full_dispatch_request()
File "/layers/google.python.pip/pip/lib... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15227 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15227/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15227/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15227/events | https://github.com/langchain-ai/langchain/issues/15227 | 2,057,681,667 | I_kwDOIPDwls56pbsD | 15,227 | Issue: issue with pdfplumber | {
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... | open | false | null | [] | null | 6 | 2023-12-27T18:50:09 | 2023-12-28T06:42:13 | null | NONE | null | ### Issue you'd like to raise.
from langchain.document_loaders.parsers.pdf import PDFPlumberParser
def generate_embeddings(config: dict = None, urls = None, file_path = None, persist_directory=None):
if file_path:
parser = PDFPlumberParser()
data = parser.load(file_path)
processed_da... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15226 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15226/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15226/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15226/events | https://github.com/langchain-ai/langchain/pull/15226 | 2,057,675,477 | PR_kwDOIPDwls5i2G6F | 15,226 | Implement nicer runnable seq constructor, Propagate name through Runn… | {
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... | closed | false | null | [] | null | 1 | 2023-12-27T18:41:39 | 2023-12-27T19:24:33 | 2023-12-27T19:24:32 | COLLABORATOR | null | …ableBinding
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https://api.github.com/repos/langchain-ai/langchain/issues/15223 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15223/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15223/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15223/events | https://github.com/langchain-ai/langchain/pull/15223 | 2,057,606,755 | PR_kwDOIPDwls5i14Jy | 15,223 | core + community: Added ANN override to VectorStore [new feature] | {
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(Most of the context of this PR exists on that issue.)
Adds this method to VectorStore:
```
@abstractmethod
def similarity_search_with_override(
self, query: str, search_override: str, k: int = 4, **kwargs: Any
) -> List[Docu... | {
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... | open | false | null | [] | null | 9 | 2023-12-27T17:07:05 | 2024-01-17T12:43:47 | null | NONE | null | ### Feature request
As per documentation there's a package for Gemini support but this only works for Gemini API and doesn't work with Vertexai.
https://python.langchain.com/docs/integrations/platforms/google
However in the vertexai docs gemini is mentioned (for some reason gemini ultra ? ) even though when tried wi... | {
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"id": 56... | open | false | null | [] | null | 1 | 2023-12-27T16:54:54 | 2023-12-27T16:57:11 | null | NONE | null | ### Feature request
I need a mechanism to allow more control over the ANN search performed for a given RAG chain. Consider the initial example:
```
retriever = vectorstore.as_retriever()
template = """You're a helpful assistant who is great at code generation. Don't give me any explanation or summary. I'll give you... | {
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Langchain version: 0.0.341
OpenAI version: 1.3.5
Model: gpt-4-1106-preview
Python version:3.10.13
Platform: Celery worker in Docker Container
### Who can help?
@eyurtsev @hwchase17 @ag
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
###... | {
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Like title, haven't found anything in the doc - docubot please help
### Idea or request for content:
having a proper document could help | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15213 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15213/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15213/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15213/events | https://github.com/langchain-ai/langchain/issues/15213 | 2,057,338,192 | I_kwDOIPDwls56oH1Q | 15,213 | How to query with new variables in LCEL mode? | {
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I am plannign to add new param like "affeciton"
How could I set the query databody to fill up the params here?( Langserve setup !)
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https://api.github.com/repos/langchain-ai/langchain/issues/15212 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15212/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15212/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15212/events | https://github.com/langchain-ai/langchain/pull/15212 | 2,057,330,403 | PR_kwDOIPDwls5i074W | 15,212 | community: avoid KeyError when language not in LANGUAGE_SEGMENTERS | {
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Handle unsupported languages in same way as when none is provided
**Issue:**
The following line will throw a KeyError if the language is not supported.
```python
self.Segmenter = LANGUAGE_SEGMENTERS[language]
```
E.g. when using `Language.CPP` we would get `KeyError: <Language.CPP: 'cpp'... | {
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- **Dependencies:** None
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MacOS, M1 Pro
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [X] Docum... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15207 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15207/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15207/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15207/events | https://github.com/langchain-ai/langchain/pull/15207 | 2,057,191,617 | PR_kwDOIPDwls5i0djV | 15,207 | community: Fix Baichuan Chat. | {
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... | open | false | null | [] | null | 7 | 2023-12-27T10:22:39 | 2024-01-11T04:09:55 | null | NONE | null | - **Description:** Baichuan Chat (with both Baichuan-Turbo and Baichuan-Turbo-192K models) has updated their APIs. There are breaking changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API but is still required in Langchain. Baichuan's Langchain integration needs to be updated to the latest version.
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15206 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15206/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15206/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15206/events | https://github.com/langchain-ai/langchain/issues/15206 | 2,057,190,266 | I_kwDOIPDwls56njt6 | 15,206 | Fix Baichuan's integration and introduce Baichuan-Turbo-192K API. | {
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... | open | false | null | [] | null | 1 | 2023-12-27T10:21:21 | 2023-12-27T10:29:44 | null | NONE | null | ### System Info
Baichuan Chat (with both Baichuan-Turbo and Baichuan-Turbo-192K models) has updated their APIs. There are breaking changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API but is still required in Langchain. Baichuan's Langchain integration needs to be updated to the latest version.
A... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15205 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15205/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15205/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15205/events | https://github.com/langchain-ai/langchain/issues/15205 | 2,057,189,374 | I_kwDOIPDwls56njf- | 15,205 | Issue: Streaming Response contains the rephrased question in ConversationalRetrievalChain | {
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... | open | false | null | [] | null | 3 | 2023-12-27T10:20:47 | 2023-12-27T10:59:28 | null | NONE | null | ### Issue you'd like to raise.
I am using ConversationalRetrievalChain
with a callback handler for streaming responses back.
> qa_chain =ConversationalRetrievalChain.from_llm(
llm=chat,
retriever=MyVectorStoreRetriever(
vectorstore=vectordb,
search_type="similarit... | {
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... | open | false | null | [] | null | 1 | 2023-12-27T10:11:11 | 2023-12-27T10:13:28 | null | NONE | null | ### System Info
OS: MacOS Sonoma
Python: 3.11.6
LangChain: 0.0.352
llama-cpp-python = 0.2.25
pydantic: 1.10.13 (I know that it is not the latest version, but version 1 is still officially supported)
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own... | {
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... | open | false | null | [] | null | 1 | 2023-12-27T09:49:59 | 2023-12-27T09:56:42 | null | CONTRIBUTOR | null | ### Issue you'd like to raise.
https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/tools/render.py
https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/tools/convert_to_openai.py
For backward compatibility purposes, should we proceed with a d... | {
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langchian=0.0.352
qianfan=0.2.4
When I tried the usage of agent in this [video](https://learn.deeplearning.ai/langchain/lesson/7/agents), I changed the model in it from ChatGpt-3.5-turbo to ERNIE-Bot, and the output of agent showed the following error:
```bash
> Entering new AgentExecutor cha... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15198 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15198/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15198/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15198/events | https://github.com/langchain-ai/langchain/pull/15198 | 2,057,089,303 | PR_kwDOIPDwls5i0HJL | 15,198 | community: Fix inconsistent initialization for ChatTongyi | {
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When using ChatTongyi, specifying the "model_name" parameter does not take effect (only the "model" parameter works). This inconsistency with other chat models can lead to unexpected model calls.
### Demonstration:
```Python
In[1]: DASHSCOPE_API_KEY = "sk-xxx"
In[2]: from langchain.chat_model... | {
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Python 3.11.6 (main, Nov 2 2023, 04:39:43) [Clang 14.0.3 (clang-1403.0.22.14.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> s = {'name': 'gc', 'arguments': '{"prompt":"hi\nbob."}'}
>>> import json
>>> json.loads(s['arguments'])
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https://api.github.com/repos/langchain-ai/langchain/issues/15196 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15196/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15196/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15196/events | https://github.com/langchain-ai/langchain/pull/15196 | 2,056,993,448 | PR_kwDOIPDwls5izyj- | 15,196 | Fixed minor type in self_query.ipynb | {
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Replace this entire comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/15195 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15195/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15195/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15195/events | https://github.com/langchain-ai/langchain/issues/15195 | 2,056,910,699 | I_kwDOIPDwls56mfdr | 15,195 | Issue: lcel langserve with_fallbacks streaming | {
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```python
conversational_qa_chain = (
_inputs | _context | ConfigurableTokenLimitProcessor(model="gpt_35_turbo").configurable_fields(
model=ConfigurableFieldSingleOption(
id="model",
name="model",
options={
"gpt_35_turbo": "gpt_35_tu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15193 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15193/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15193/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15193/events | https://github.com/langchain-ai/langchain/issues/15193 | 2,056,898,273 | I_kwDOIPDwls56mcbh | 15,193 | Issue: <Please tell me how to combine Routing and RAG in a chain.> | {
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"description": "A specific question about the codebase, product, project, or how to... | open | false | null | [] | null | 5 | 2023-12-27T04:29:43 | 2024-01-09T03:06:19 | null | NONE | null | ### Issue you'd like to raise.
I apologize for the naive question.it's not about an error or a bug.
I'm trying to implement routing by following the guide here: https://python.langchain.com/docs/modules/chains/foundational/router
However, I can't figure out how to use RAG.
I tried changing the last code in the gu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15192 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15192/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15192/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15192/events | https://github.com/langchain-ai/langchain/issues/15192 | 2,056,881,303 | I_kwDOIPDwls56mYSX | 15,192 | Issue: <CSVLoader can't load> | {
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... | closed | false | null | [] | null | 5 | 2023-12-27T03:54:38 | 2024-01-09T09:47:57 | 2024-01-08T04:10:00 | NONE | null | ### Issue you'd like to raise.
why CSVLoader can't load? error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[25], line 1
----> 1 from langchain.document_loaders.csv_loader import CSVLoader
3... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15191 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15191/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15191/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15191/events | https://github.com/langchain-ai/langchain/issues/15191 | 2,056,875,193 | I_kwDOIPDwls56mWy5 | 15,191 | Issue: lcel `with_fallbacks` streaming | {
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I'm going to make a chain through lcel and try to process an error through `with_fallbacks` at the end, but unlike before I put `with_fallbacks`, streaming is not possible and all responses go down at once. Can i process streaming using `with_fallbacks`?
### Suggestion:
lcel `with_fall... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15190 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15190/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15190/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15190/events | https://github.com/langchain-ai/langchain/issues/15190 | 2,056,873,561 | I_kwDOIPDwls56mWZZ | 15,190 | Issue: openai api key rate limit error handing | {
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... | open | false | null | [] | null | 2 | 2023-12-27T03:37:31 | 2023-12-27T04:22:46 | null | CONTRIBUTOR | null | ### Issue you'd like to raise.
If the rate limit of the api key is exceeded when developing a chain through lcel, I want to dynamically change another api key and retry to give the client a normal response, is there a way?
### Suggestion:
Dynamically catch an error in lcel, change the api key, and try again | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15187 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15187/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15187/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15187/events | https://github.com/langchain-ai/langchain/pull/15187 | 2,056,788,852 | PR_kwDOIPDwls5izIYN | 15,187 | Use tz-aware utc datetimes in tracer | {
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Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified.
Replace this entire comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/15186 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15186/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15186/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15186/events | https://github.com/langchain-ai/langchain/pull/15186 | 2,056,763,077 | PR_kwDOIPDwls5izDDV | 15,186 | [core] prompt changes | {
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... | closed | false | null | [] | null | 1 | 2023-12-26T23:27:43 | 2023-12-27T00:47:41 | 2023-12-26T23:52:17 | COLLABORATOR | null | change it to pass all variables through all the way in invoke | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15185 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15185/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15185/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15185/events | https://github.com/langchain-ai/langchain/pull/15185 | 2,056,755,427 | PR_kwDOIPDwls5izBf2 | 15,185 | Better input and output schemas for chains that start or end with a R… | {
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... | closed | false | null | [] | null | 1 | 2023-12-26T23:03:58 | 2023-12-27T00:45:56 | 2023-12-26T23:21:14 | COLLABORATOR | null | …unnableAssign or RunnablePick
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... | closed | false | null | [] | null | 1 | 2023-12-26T21:36:20 | 2023-12-28T03:01:39 | 2023-12-26T22:01:20 | COLLABORATOR | null | <!-- Thank you for contributing to LangChain!
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- adding actual image_url support by downloading the image using requests.get
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... | open | false | null | [] | null | 1 | 2023-12-26T18:42:18 | 2023-12-26T18:49:22 | null | NONE | null | ### Issue with current documentation:
I want to contribute to one of the libs and started a fork. Here are the steps I took:
I am trying to add a new feature but first need to experiment with it. I am unsure on how to get started writing some short scripts to use the libs.
1. I went into ```libs/experimental```... | {
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OS: Windows
Python: 3.9.10
Langchain version: 0.0.352
openai version: 1.6.1
### Who can help?
@BeautyyuYanli
@baskaryan
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompt... | {
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- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter handle:** N/A
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"followers_url": "https://api.github.com... | null | 1 | 2023-12-26T13:20:30 | 2023-12-28T22:51:22 | 2023-12-28T22:51:22 | CONTRIBUTOR | null | While using `chain.batch`, the default implementation uses a `ThreadPoolExecutor` and run the chains in separate threads. An issue with this approach is that that [the token counting callback](https://python.langchain.com/docs/modules/callbacks/token_counting) fails to work as a consequence of the context not being pro... | {
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`def generate_custom_prompt(new_project_qa,query,name,not_uuid):
check = query.lower()
result = new_project_qa(query)
relevant_document = result['source_documents']
context_text="\n\n---\n\n".join([doc.page_content for doc in relevant_document])
# print(cont... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15169 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15169/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15169/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15169/events | https://github.com/langchain-ai/langchain/pull/15169 | 2,056,365,220 | PR_kwDOIPDwls5ixu0X | 15,169 | community: Async Ollama + ChatOllama | {
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... | closed | false | null | [] | null | 1 | 2023-12-26T12:25:43 | 2023-12-26T21:43:49 | 2023-12-26T20:08:04 | CONTRIBUTOR | null | **Description:**
Adding async methods to booth OllamaLLM and ChatOllama to enable async streaming and async .on_llm_new_token callbacks.
**Issue:**
ChatOllama is not working in combination with an AsyncCallbackManager because the .on_llm_new_token method is not awaited. | {
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... | closed | false | null | [] | null | 4 | 2023-12-26T11:56:09 | 2023-12-26T13:43:15 | 2023-12-26T13:43:14 | NONE | null | ### Issue you'd like to raise.
I would like to build RAG based on Mistral 7B model
The model is already hosted, and I provide llm_url in the custom LLM setup
I am able to make a request and get a response from the URL using the `llm._call` method, however something is wrong with the callbacks in `RetrievalQA.from_... | {
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... | closed | false | null | [] | null | 1 | 2023-12-26T11:50:31 | 2023-12-26T19:07:10 | 2023-12-26T19:07:09 | CONTRIBUTOR | null | This document uses Oxford comma (A, B, and C), in this list the comma was missing before "and".
This PR corrects that.
<!-- Thank you for contributing to LangChain!
Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified.... | {
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... | open | false | null | [] | null | 1 | 2023-12-26T11:22:41 | 2024-01-06T15:38:39 | null | CONTRIBUTOR | null | **Description:**
Adding helper methods for improving implementation speed and code clarity.
**Issue:**
I write a lot of boiler plate and my code feels chaotic since the new vision message schemas.
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"node_id... | open | false | null | [] | null | 2 | 2023-12-26T10:47:02 | 2023-12-26T20:18:29 | null | NONE | null | ### Issue you'd like to raise.
Given a tool that generates a dataframe, how can I pass it through the chain?
```
llm_with_tools = llm.bind(functions=[format_tool_to_openai_function(t) for t in tools])
prompt = ChatPromptTemplate.from_messages(
[
("system", """
You are a helpful a... | {
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... | closed | false | null | [] | null | 2 | 2023-12-26T09:32:29 | 2024-01-10T03:36:51 | 2024-01-10T03:36:51 | NONE | null | ### System Info
python3.10
langchain 0.0.333
### Who can help?
@hwchase17 @agola11 @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt... | {
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### Issue you'd like to raise.
confluence_url = config.get("confluence_url", None)
username = config.get("username", None)
api_key = config.get("api_key", None)
space_key = config.get("space_key", None)
documents = [... | {
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When I set `verbose=True` when creating chains using ConversationBufferMemory as memory and **redirect** the output to a txt/log file, the return messages shows that the ConversationBufferMemory saves same round conversation twice. You can get the example in later part of this issue.
**This problem ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15160 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15160/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15160/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15160/events | https://github.com/langchain-ai/langchain/issues/15160 | 2,056,099,364 | I_kwDOIPDwls56jZYk | 15,160 | Issue: i want to use langchain callbacks to pass a tool parameter to it? what should i do? | {
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i'm using openai function call agent , gpt llm offen gives bad tool parameters, i want to achieve this: pass certain params to all tools through through some path, before every tool get executed, i can check whether the llm produced params is right or directly use the certain params ... | {
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When using Qdrant as retriever, how to retrieve the relevant documents with the similarity score? For now, I do not see any methods that I can use to retrieve the documents and also return me the similarity score. However, if use the vector store to run similarity search, I have the opti... | {
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I've wondering that in this part of the code in order to define `cypher generation template` of langchain with neo4j graph database from Neo4j DB QA chain Documentation
```python
from langchain.prompts.prompt import PromptTemplate
CYPHER_GENERATION_TEMPLATE = """Task:Genera... | {
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... | closed | false | null | [] | null | 2 | 2023-12-26T03:53:16 | 2023-12-27T11:25:36 | 2023-12-26T19:07:39 | CONTRIBUTOR | null | Make this issue more clearly exposed to developers | {
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`BaseChatMemory`, `ChatMessageHistory` are base classes. The `get_prompt_input_key` was moved because of dependency.
Also fixed an error in imports in `langchain_experimental/autonomous_agents/autogpt/memory.py` | {
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- **Dependencies:** semantischolar https://github.com/daniel... | {
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Changes:
- Refactored Logic for CUDA Availability: The initialization now includes a check for CUDA availability. If CUDA is not available, the code falls back to using the CPU. ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15149 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15149/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15149/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15149/events | https://github.com/langchain-ai/langchain/pull/15149 | 2,055,790,972 | PR_kwDOIPDwls5iv2Nd | 15,149 | feat: semantic scholar agent tools | {
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Replace this entire comment with:
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<!-- Thank you for contributing to LangChain!
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Langchain Version: 0.0.352
Langchain experimental Version: 0.0.47
Python : 3.10
Ubuntu : 22.04
Poetry is being used
**Code: `test.py`**
```python
import json
from langchain.schema import HumanMessage
from langchain.callbacks.manager import CallbackManager
from langchain.callbacks.stre... | {
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Langchain version 0.352
SystemMessage is ignored when I invoke AgentExecutor.run function. the code looks as below.
```
from typing import Tuple, Dict
from langchain.agents import initialize_agent, AgentType
from langchain.agents.agent import AgentExecutor
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langchain==0.0.352
langchain-community==0.0.6
langchain-core==0.1.3
### 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 ... | {
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wsl
conda 23.7.4 python 3.8.11
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_No response_
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- [X] The official example notebooks/scripts
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https://api.github.com/repos/langchain-ai/langchain/issues/15139 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15139/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15139/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15139/events | https://github.com/langchain-ai/langchain/issues/15139 | 2,055,458,803 | I_kwDOIPDwls56g8_z | 15,139 | DOC: Wrong output in `Upstash Redis Cache` section of LLM Caching documentation | {
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... | open | false | null | [] | null | 1 | 2023-12-25T07:13:29 | 2023-12-25T07:21:59 | null | CONTRIBUTOR | null | ### Issue with current documentation:
In the current documentations the output of `Upstash Redis Cache` section in LLM Caching documentation seems wrong. The second run after caching is done has wrong output and wrong code and comments written in the code block.
### Idea or request for content:
Update the code block... | {
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... | open | false | null | [] | null | 1 | 2023-12-25T06:28:01 | 2023-12-25T06:36:07 | null | NONE | null | ### System Info
LangChain : 0.0.352
Python : 3.11.5
### 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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https://api.github.com/repos/langchain-ai/langchain/issues/15136 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15136/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15136/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15136/events | https://github.com/langchain-ai/langchain/pull/15136 | 2,055,400,581 | PR_kwDOIPDwls5iui0j | 15,136 | community: update QuipLoader to support return text instead of html format | {
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By default, the quip API return doc as html format, this PR is to support parse html as text to stripe html format.
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https://api.github.com/repos/langchain-ai/langchain/issues/15134 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15134/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15134/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15134/events | https://github.com/langchain-ai/langchain/pull/15134 | 2,055,309,681 | PR_kwDOIPDwls5iuPS_ | 15,134 | community: support UAE sentence embeddings | {
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- **Description:** support loading the current SOTA sentence embeddings [WhereIsAI/UAE](https://huggingface.co/WhereIsAI/UAE-Large-V1) in langchain.
- **Dependencies:** [angle_emb](https://github.com/SeanLee97/AnglE)
- **Twitter handle:** @xmlee97
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... | open | false | null | [] | null | 3 | 2023-12-24T21:26:43 | 2023-12-25T12:59:48 | null | NONE | null | ### Feature request
Currently if one wants to use the RetryWithErrorOutputParser - we need to do the parsing manually instead of generating a chain that does it for us (including all the nice chain functions: batch, ainvoke, etc)
There are 2 issues:
1. The RetryWithOutputParser requires the prompt to be given to i... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15132 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15132/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15132/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15132/events | https://github.com/langchain-ai/langchain/issues/15132 | 2,055,216,000 | I_kwDOIPDwls56gBuA | 15,132 | Adding Prompt template to ConversationalRetrievalChain.from_llm | {
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# How Adding a prompt template to conversational retrieval chain giving the code:
`template= """Use the following pieces of context to answer the question at the end.
If you don't know the answer,
just say that you don't know.
{context}
Question: {question}
Helpful Answer:"""
QA_CHAIN_PROMPT = PromptTemp... | {
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... | open | false | null | [] | null | 1 | 2023-12-24T17:35:05 | 2023-12-24T17:40:13 | null | CONTRIBUTOR | null | ### System Info
windows
### Who can help?
@hwchase17
@agola11
### 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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"id": 56... | open | false | null | [] | null | 3 | 2023-12-24T14:59:45 | 2023-12-24T15:41:38 | null | NONE | null | ### System Info
langchain version: 0.0.352, Windows 10, Python 3.11.6,
### Who can help?
@eyurtsev
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
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Environment
```
Edition Windows 11 Home
Version 22H2
Installed on 4/30/2023
OS build 22621.2861
Experience Windows Feature Experience Pack 1000.22681.1000.0
langchain package version: "0.0.212"
zod package version: "3.22.4"
typescript package version: "5.1.6"
```
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Fix typo in documentation.
**Twitter handle:**
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I suspect a potential issue where Chroma.from_documents might not be embedding and storing vectors for metadata in documents.
I have loaded five tabular documents using DataFrameLoader. However, when attempting to retrieve content based on similarity from the vector store, it appears ... | {
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- split code to several files
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