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https://api.github.com/repos/langchain-ai/langchain/issues/14236 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14236/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14236/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14236/events | https://github.com/langchain-ai/langchain/pull/14236 | 2,024,242,477 | PR_kwDOIPDwls5hEzax | 14,236 | Fixed OpenAIFunctionsAgent not returning when receiving AgentFinish | {
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Thanks for review, @baskaryan, @eyurtsev, @hwchase17. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14233 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14233/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14233/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14233/events | https://github.com/langchain-ai/langchain/issues/14233 | 2,024,212,346 | I_kwDOIPDwls54pwd6 | 14,233 | Issue: Recently, the DuckduckGo search tool seems not working. VQDExtractionException: Could not extract vqd. keywords="keywords" | {
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from langchain.agents import AgentType, initialize_agent
from langchain.chat_models import ChatOpenAI
from langchain.tools import DuckDuckGoSearchRun
llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo-16k")
web_search = DuckDuckGoSearchRun()
tools = [
web_search,
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https://api.github.com/repos/langchain-ai/langchain/issues/14232 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14232/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14232/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14232/events | https://github.com/langchain-ai/langchain/issues/14232 | 2,024,210,192 | I_kwDOIPDwls54pv8Q | 14,232 | similarity_search_with_score does not accept "!" in the query | {
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python 3.11.6
langchain==0.0.345
langchain-core==0.0.9
jupyter_client==8.6.0
jupyter_core==5.5.0
ipykernel==6.27.0
ipython==8.17.2
on mac M2
### Who can help?
@baskaryan @tomasonjo @hwchase17
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Re... | {
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langchain-core==0.0.9
jupyter_client==8.6.0
jupyter_core==5.5.0
ipykernel==6.27.0
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### Information
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- [ ] My own modified scripts
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https://api.github.com/repos/langchain-ai/langchain/issues/14230 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14230/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14230/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14230/events | https://github.com/langchain-ai/langchain/pull/14230 | 2,024,180,853 | PR_kwDOIPDwls5hEmEv | 14,230 | Fix `config` arg detection for wrapped lambdarunnable | {
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When a RunnableLambda only receives a synchronous callback, this callback is wrapped into an async one since #13408. However, this wrapping with `(*args, **kwargs)` causes the `accepts_config` check at [/libs/core/langchain_core/runnables/config.py#L342](https://github.com/langchain-ai/langchain/blob/... | {
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... | open | false | null | [] | null | 3 | 2023-12-04T15:07:02 | 2023-12-05T13:39:52 | null | CONTRIBUTOR | null | ### Issue with current documentation:
I cant find documentattion about filtered retrievers, basically I want to fix this issue: https://github.com/langchain-ai/langchain/issues/14227
### Idea or request for content:
And according to other github issues, the way to fix it is with custom filtered retrievers.
So I t... | {
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langchain 0.0.342
langchain-core 0.0.7
azure-search-documents 11.4.0b8
Python: 3.10
### Who can help?
@hw
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Mod... | {
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- Python 3.10
### Who can help?
@hwchase17 @agola11
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- **Issue:** https://github.com/langchain-ai/langchain/issues/14216,
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MacOS
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_No response_
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- **Description:** Increased compatibility with all versions openai for dalle,
This pr add support for openai version from 0 ~ 1.3.
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- **Issue:** no issue,
- **Dependencies:** no,
- **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below),
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Trying to align it with its langchain-js version counterpart [here](https://api.js.langchain.com/classes/embeddings_cloudflare_workersai.CloudflareWorkersAIEmbeddings.html).
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I am working on extracting data from HTML files. I need to extract table data to store in a data frame as a table. With the help of langchain document loader I can extract the data row wise but the headers of columns are not getting extracted. How to extract column headers along with the... | {
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In my humble opinion, I think `llm_kwargs` variable should be a parameter declared in the LLM class rather than the LLM Chain. One of the reasons for this, is that when you are declaring... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14215 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14215/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14215/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14215/events | https://github.com/langchain-ai/langchain/pull/14215 | 2,023,332,519 | PR_kwDOIPDwls5hBqpx | 14,215 | fixed: ModuleNotFoundError: No module named 'clarifai.auth' | {
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fixed: #14175
@efriis
@baskaryan | {
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- **Description:** Fix the BiliBiliLoader that can receive cookie parameters; Add example in docs
- **Issue:** [#14213]
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... | open | false | null | [] | null | 2 | 2023-12-04T06:58:42 | 2023-12-04T09:07:10 | null | NONE | null | ### System Info
Mac os
Python3.9
### Who can help?
@Jiaaming
I'm working on this issue.
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Outpu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14212 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14212/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14212/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14212/events | https://github.com/langchain-ai/langchain/pull/14212 | 2,023,131,973 | PR_kwDOIPDwls5hA-tr | 14,212 | Support `openai_proxy` compatible with openai>1.0.0 | {
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`openai` v1 no longer supports the method of setting `openai.proxy`. If using `OPENAI_PRPXY`, the user needs to initialize an http_client.
### **Issue:**
https://github.com/langchain-ai/langchain/issues/13939 | {
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... | open | false | null | [] | null | 4 | 2023-12-04T04:34:52 | 2023-12-05T11:31:16 | null | NONE | null | ### Issue you'd like to raise.
ValidationError: 2 validation errors for ConversationChain
advisor_summary
extra fields not permitted (type=value_error.extra)
__root__
Got unexpected prompt input variables. The prompt expects ['advisor_summary', 'history', 'input'], but got ['history'] as inputs from memory, an... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14209 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14209/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14209/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14209/events | https://github.com/langchain-ai/langchain/issues/14209 | 2,022,958,852 | I_kwDOIPDwls54k-cE | 14,209 | Issue: How to avoid modifying user input and output in initialize_agent? | {
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Hi, I am trying to use `initialize_agent` to leverage custom tools but when the agent is accepting it, it is modifying the user's input in its own way and causing error in the output. For example, in SQLTool, it is automatically converting it into SQL query which is wrong and ended up gi... | {
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I have a problem in this code `llm_chain = LLMChain(prompt=prompt,llm=local_llm)`, how to define the local huggingface models into this `local_llm`
### Suggestion:
_No response_ | {
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I'd like to use Hugging Face's Chat UI frontend with LangChain.
https://github.com/huggingface/chat-ui
But it looks like the Chat UI is only available through Hugginf Face's Text Generation Inference endpoint.
https://github.com/huggingface/chat-ui/issues/466
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Replace this entire comment with:
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- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant... | {
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`{"filter": {"key": { "NIN" : ["list", "of", "values"]}}}`
"IN" is already supported, so this is a quick & related update to add "NIN"
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https://api.github.com/repos/langchain-ai/langchain/issues/14204 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14204/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14204/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14204/events | https://github.com/langchain-ai/langchain/pull/14204 | 2,022,735,524 | PR_kwDOIPDwls5g_o-a | 14,204 | moved semadb.mdx file | {
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- Moved file to the `https://python.langchain.com/docs/integrations/providers/semadb`
- Added a redirect for the file URL | {
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Hi,
I am wondering if anyone has a work around using ConversationalRetrievalChain to retrieve documents with their sources, and prevent the chain from returning sources for questions without sources.
query = "How are you doing?"
result = chain({"question": query, "chat_history": c... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14202 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14202/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14202/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14202/events | https://github.com/langchain-ai/langchain/pull/14202 | 2,022,686,983 | PR_kwDOIPDwls5g_fUu | 14,202 | Allow base_store to be used directly with MultiVectorRetriever | {
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@rlancemartin @eyurtsev | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14201 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14201/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14201/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14201/events | https://github.com/langchain-ai/langchain/pull/14201 | 2,022,669,661 | PR_kwDOIPDwls5g_b08 | 14,201 | Prefer byte store interface for Upstash BaseStore to match other Redis | {
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"followers_url": "https://api.gi... | null | 1 | 2023-12-03T19:01:32 | 2023-12-04T22:17:34 | 2023-12-04T22:17:33 | CONTRIBUTOR | null | If we are not going to make the existing Docstore class also implement `BaseStore[str, Document]`, IMO all base store implementations should always be `[str, bytes]` so that they are more interchangeable.
CC @rlancemartin @eyurtsev | {
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also im not sure this is even really a test file? which is why i didnt move it
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https://api.github.com/repos/langchain-ai/langchain/issues/14199 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14199/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14199/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14199/events | https://github.com/langchain-ai/langchain/issues/14199 | 2,022,602,013 | I_kwDOIPDwls54jnUd | 14,199 | Can i save openai token usage information which get from get_openai_callback directlly to database with SQLChatMessageHistory | {
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_No response_
### Suggestion:
_No response_ | {
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"id": 56... | open | false | null | [] | null | 1 | 2023-12-03T15:31:50 | 2023-12-03T15:34:03 | null | NONE | null | ### System Info
Langchain version: 0.0.342
Python version: 3.9
OS: Mac OS
### Who can help?
@3coins
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selector... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14197 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14197/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14197/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14197/events | https://github.com/langchain-ai/langchain/pull/14197 | 2,022,446,765 | PR_kwDOIPDwls5g-uA2 | 14,197 | Fix Html2TextTransformer for shallow copy | {
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Replace this entire 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... | {
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memory = ConversationBufferMemory(
return_messages=True, output_key="answer", input_key="question"
)
retriever = load_emdeddings(cfg.faiss_persist_directory, cfg.embeddings).as_retriever(search_type="similarity_score_threshold",
search_kwargs... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14195 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14195/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14195/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14195/events | https://github.com/langchain-ai/langchain/pull/14195 | 2,022,390,395 | PR_kwDOIPDwls5g-jC1 | 14,195 | Asynchronous human-in-the-loop callback | {
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"url... | closed | false | null | [] | null | 1 | 2023-12-03T06:27:43 | 2023-12-03T22:57:07 | 2023-12-03T22:57:07 | CONTRIBUTOR | null | **Description:** Adding a possibility to use asynchronous callback handler in human-in-the-loop validation tool. Very useful, for example, if you want to implement a validation over Telegram bot.
**Issue:** -
**Dependencies:** - | {
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- **Issue:** [the issue # it fixes (if applicable),](https://github.com/langchain-ai/langchain/issues/14127)
- **Dependencies:** None
- **Tag maintainer:** @baskaryan
- **Twitter handle:** | {
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- **Issue:** https://github.com/langchain-ai/langchain/issues/12165
- **Dependencies:** N/A
- **Tag maintainer:** @eyurtsev
- **Twitter handle:** `eekaiboon` | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14192 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14192/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14192/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14192/events | https://github.com/langchain-ai/langchain/issues/14192 | 2,022,372,837 | I_kwDOIPDwls54ivXl | 14,192 | Passing BaseModel type data from agent to tool | {
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"node_id... | open | false | null | [] | null | 2 | 2023-12-03T05:03:47 | 2023-12-03T15:15:33 | null | NONE | null | ### Issue you'd like to raise.
We create an agent using initialize_agent, register the tool, and configure it to be selected through the agent.
However, in the agent, regardless of which tool is selected, I want to pass a data object called request of BaseModel type when executing the tool.
I would appreciate it if ... | {
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... | open | false | null | [] | null | 8 | 2023-12-03T04:30:52 | 2024-01-12T10:09:38 | null | NONE | null | @dosubot , how do i use system prompt inside conversational retreival chain?
prompt = ChatPromptTemplate(
messages=[
SystemMessagePromptTemplate.from_template(
"You are a nice chatbot named James-AI having a conversation with a human."
),
MessagesPlaceholder(variable_name=... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14190 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14190/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14190/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14190/events | https://github.com/langchain-ai/langchain/pull/14190 | 2,022,345,993 | PR_kwDOIPDwls5g-Zmn | 14,190 | Added Python `logging` tracer | {
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... | closed | false | null | [] | null | 1 | 2023-12-03T04:03:29 | 2023-12-03T17:37:10 | 2023-12-03T17:36:31 | CONTRIBUTOR | null | This PR creates a logging handler and adds a simple unit test of it
Supercedes https://github.com/langchain-ai/langchain/pull/12862 | {
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When I use an existing library that includes langsmith (such as https://github.com/langchain-ai/weblangchain), but I don't have access to langsmith API as I'm still on the waitlist. How can I quickly disable the langsmith functionality without commenting out the code?
### Suggestion:
_... | {
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* GPT-4V | {
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pip list:
- langchain 0.0.314
- langchain-core 0.0.8
```python
prompt_template = """
### [INST]
Assistant is a large language model trained by Mistral.
Assistant is designed to be able to assist with a wide range ... | {
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... | closed | false | null | [] | null | 1 | 2023-12-02T22:08:52 | 2023-12-05T02:12:26 | 2023-12-04T22:44:07 | COLLABORATOR | null | The `/docs/integrations/toolkits/vectorstore` page is not the Integration page. The best place is in `/docs/modules/agents/how_to/`
- Moved the file
- Rerouted the page URL | {
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... | open | false | null | [] | null | 1 | 2023-12-02T20:48:41 | 2023-12-02T20:50:52 | null | NONE | null | ### Feature request
I think Langchain should have a Document Loader that would allow reading all issues from provided project as documents.
### Motivation
Langchain currently has agent for JIRA, but there is no Document Loader that would allow to read all issues from specified project and store them in Vector databa... | {
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"id": 56... | open | false | null | [] | null | 2 | 2023-12-02T20:43:58 | 2023-12-04T11:51:10 | null | NONE | null | ### Feature request
Looks like it should be doable to have Cloudflare Vectorize support, as there's a HTTP API for Vectorize.
https://developers.cloudflare.com/api/operations/vectorize-list-vectorize-indexes
### Motivation
Similar to langchain-js, it would be nice if we could use Cloudflare Vectorize when using L... | {
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- LangChain - 0.0.344
- python version - 3.11.6
- platform - windows11
### Who can help?
https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent
When running the above example, the following error occurs.
-----------------------------------------------------------... | {
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Is there a way to conditionally create a Pandas agent using `create_pandas_dataframe_agent` or update the DataFrame the agent has access to?
Say I have an agent that has access to tools like so:
```python
@tool()
def f(query: str) -> pd.DataFrame:
...
agent = initi... | {
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... | closed | false | null | [] | null | 1 | 2023-12-02T15:28:09 | 2023-12-18T20:34:37 | 2023-12-04T19:53:36 | NONE | null | ### System Info
platform: Vagrant - Ubuntu 2204
python: 3.9.18
langchain version: 0.0.344
langchain core: 0.0.8
clarifai: 9.10.4
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [x] My own modified scripts
### Related Components
- [ ] LLMs/Ch... | {
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Replace this entire 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... | {
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... | open | false | null | [] | null | 3 | 2023-12-02T12:42:14 | 2023-12-31T10:26:05 | null | NONE | null | ### System Info
langchain version ：
langchain 0.0.344
langchain-core 0.0.8
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prom... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14171 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14171/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14171/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14171/events | https://github.com/langchain-ai/langchain/pull/14171 | 2,021,998,538 | PR_kwDOIPDwls5g9TJ- | 14,171 | Fixes and Upgrades for the Tongyi LLM and ChatTongyi Model | {
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... | closed | false | null | [] | null | 6 | 2023-12-02T11:10:45 | 2023-12-12T06:50:17 | 2023-12-12T06:50:17 | CONTRIBUTOR | null | - **Description:** Upgrade the `Tongyi` LLM and `ChatTongyi` Model.
- Fixed typos; it should be `Tongyi`, not `OpenAI`.
- Fixed a bug in `stream_generate_with_retry`; it's a real stream generator now.
- Fixed a bug in `validate_environment`; the `dashscope_api_key` should be properly handled when... | {
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- **Issue:** https://github.com/langchain-ai/langchain/issues/12165
- **Dependencies:** dashscope
- **Tag maintainer:** @eyurtsev
- **Twitter handle:** FadilParves | {
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Please help!
Error:
GGML_ASSERT: C:\Users\user\AppData\Local\Temp\pip-install-l0_yao9s\llama-cpp-python_686671b6d7b8440a98e23acb5bc6a41a\vendor\llama.cpp\ggml.c:15149: cgraph->nodes[cgraph->n_nodes - 1] == tensor
GGML_ASSERT: C:\Users\user\AppData\Local\Temp\pip-install-l0_yao9s\llama... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14168 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14168/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14168/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14168/events | https://github.com/langchain-ai/langchain/issues/14168 | 2,021,953,293 | I_kwDOIPDwls54hI8N | 14,168 | Question about runing Langchain Extraction Demo in Chinese text. | {
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... | closed | false | null | [] | null | 4 | 2023-12-02T09:01:35 | 2023-12-04T02:10:15 | 2023-12-04T01:33:55 | NONE | null | ### Issue you'd like to raise.
```python
from langchain.chains import create_extraction_chain
from langchain.chat_models import ChatOpenAI
import dotenv
dotenv.load_dotenv()
# Schema
schema = {
"properties": {
"name": {"type": "string"},
"education": {"type": "string"},
"com... | {
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Code:
retriever = BM25Retriever.from_documents(
[
Document(page_content="foo"),
Document(page_content="bar"),
Document(page_content="world"),
Document(page_content="hello"),
Document(page_content="foo bar"),
]
)
Error:
---> 30... | {
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Fix #14069
### Twitter handle
[lin_bob57617](https://twitter.com/lin_bob57617) | {
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Fix: #14159
Use `from pydantic.v1 import BaseModel, Field` instead of `from pydantic import BaseModel, Field`
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The `RateLimitError` initialization method has changed after openai v1, and the usage of `patch` needs to be changed.
### Twitter handle
[lin_bob57617](https://twitter.com/lin_bob57617) | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14163 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14163/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14163/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14163/events | https://github.com/langchain-ai/langchain/pull/14163 | 2,021,848,656 | PR_kwDOIPDwls5g8z0o | 14,163 | Update docs to use new usage in openai>1.0.0 | {
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Use new [APIs](https://github.com/openai/openai-python/blob/main/api.md#finetuning)
### Twitter handle
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to make a pipeline that properly propagates metadata information
from raw content to the derived content.
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langchain: 0.0.339
Python: 3.11.6
I followed instructions in
[https://docs.smith.langchain.com/evaluation/evaluator-implementations](https://docs.smith.langchain.com/evaluation/evaluator-implementations)
`from langsmith import Client
from langchain.smith import RunEvalConfig, run_on_dataset
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- added missed integration references to the `AWS` platform page
- added/updated descriptions and links in the referenced notebooks
- renamed two notebook files. They have file names != page Title, which generate unordered ToC.
- reroute the URLs for renamed fil... | {
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[pydantic_chain_test_code.txt](https://github.com/langchain-ai/langchain/files/13532796/pydantic_chain_test_code.txt)
[error_log.txt](https://github.com/langchain-ai/langchain/files/13532799/error_log.txt)
### Who can help?
@agola11 @hwchase17
The attached code is adopted from the official exa... | {
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Also bumps us down to python3.8 because it's significantly faster in the vercel build step. Uses default openssl version instead of upgrading as well. | {
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conda 23.3.1
Python 3.10.6
angchain 0.0.344 pypi_0 pypi
langchain-core 0.0.8 pypi_0 pypi
langchain-experimental 0.0.43 pypi_0 pypi
### Who can help?
_No response_
### Information
- [ ] The official exam... | {
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Added it. | {
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Replace this entire comment with:
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Adding [IBM Watson Discovery Service](https://cloud.ibm.com/docs/discovery-data?topic=discovery-data-getting-started) as an additional retriever might be a useful extension to enable RAG-use cases or supporting RetrievalChains.
IBM Watson Discovery Service can find relevant documents based on natu... | {
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Added this link. | {
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From what I can see, `poetry` will auto-include this. Please let me know if I am missing something here. | {
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It seems the typing of my index is lost when I save and load it. This is me creating the FAISS vector store with the MAX_INNER_PRODUCT flag.
```python
# Saving
save_db = FAISS.from_texts(texts, embedding_function, metadatas=metadatas, distance_strategy="MAX_INNER_PRODUCT", normalize_L2=True)
save... | {
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"id": 56... | open | false | null | [] | null | 7 | 2023-12-01T20:20:11 | 2024-01-10T19:59:42 | null | NONE | null | ### Feature request
Amazon DocumentDB has launched its vector search feature recently. Let us add Amazon DocumentDB as vector store in langchain.
### Motivation
This will help large customer base of Amazon DocumentDB to adopt langchain and seamlessly build AI/ML apps
### Your contribution
Amazon Document... | {
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This PR creates a helper method for DRY code. | {
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<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
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- Give the idea the subclass is doing something special (when it isn't)
- Block CTRL-click to the actual method
This PR removes some unnecessarily overridden methods in `StdOutCallbackHandler`
Supercedes https://github.com/langchain-ai/langchain/pull/12858 | {
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... | open | false | null | [] | null | 2 | 2023-12-01T18:30:40 | 2023-12-02T19:00:00 | null | CONTRIBUTOR | null | ### System Info
Python 3.11, `langchain==0.0.340`
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
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... | closed | false | null | [] | null | 8 | 2023-12-01T18:21:00 | 2023-12-04T18:34:07 | 2023-12-04T18:34:07 | CONTRIBUTOR | null | ### Issue with current documentation:
https://python.langchain.com/docs/modules/callbacks/
This doc doesn't mention how to use callbacks with LCEL. It would be good to add that, to help with the migration from `LLMChain` to `LCEL`.
### Idea or request for content:
https://python.langchain.com/docs/modules/c... | {
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