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https://api.github.com/repos/langchain-ai/langchain/issues/15347 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15347/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15347/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15347/events | https://github.com/langchain-ai/langchain/issues/15347 | 2,060,810,975 | I_kwDOIPDwls561Xrf | 15,347 | DOC: Summarization 'map_reduce' - Can't load tokenizer for 'gpt2' | {
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... | open | false | null | [] | null | 4 | 2023-12-30T17:44:16 | 2024-01-04T15:35:08 | null | NONE | null | ### Issue with current documentation:
The [documentation](https://python.langchain.com/docs/use_cases/summarization) describes the different options for summarizing a text, for longer texts the 'map_reduce' option is suggested. It is mentioned further under 'Go deeper' that it is possible to use different LLMs via the... | {
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Help me understand how I can save the intermediate data of chain execution results?
### Suggestion:
_No response_ | {
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"followers_url": "https://api.github.c... | null | 12 | 2023-12-30T15:04:38 | 2024-01-18T04:25:24 | null | NONE | null | **Description:** Gemini model has quite annoying default safety_settings settings. In addition, current VertexAI class doesn't provide a property to override such settings.
So, this PR aims to
- add safety_settings property to VertexAI
- fix issue with incorrect LLM output parsing when LLM responds with appropriat... | {
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... | open | false | null | [] | null | 3 | 2023-12-30T11:14:48 | 2024-01-07T20:59:57 | null | NONE | null | ### Issue with current documentation:
A few days back, I was referring to the [Prompt templates](https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/) page which now shows: "**Page Not Found**"
### Idea or request for content:
I understand that LangChain is an evolving framework undergoing c... | {
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... | closed | false | null | [] | null | 1 | 2023-12-30T10:29:06 | 2024-01-15T19:59:40 | 2024-01-15T19:59:40 | NONE | null | ### System Info
LangChain 0.0.353
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ]... | {
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`below is my code for generating custom prompt which takes context and user query and we pass it into model:
def generate_custom_prompt(new_project_qa,query,name,not_uuid):
check = query.lower()
result = new_project_qa(query)
relevant_document = result['source_docume... | {
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**Description:** Issue #15331 pointed out that there was no support for FAISS for `SelfQueryRetriever`. Therefore, I decided to add the desired support. I understand that FAISS does not have an internal query language like other vector stores (e.g., Chroma), but I noticed that the current implementation of the `FAISS... | {
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- moved zep and motorhed from `langchain.memory` to `language_community.memory`
- created `language_core.memory`
- moved several base classes into `language_core.memory`
- moved `ChatMessageHistory` from `langchain_community` to `langchain_core`
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... | closed | false | null | [] | null | 1 | 2023-12-29T23:52:44 | 2024-01-02T20:16:40 | 2024-01-02T20:16:39 | COLLABORATOR | null | - easier to write custom logic/loops with automatic tracing
- if you don't want to streaming support write a regular function and pass to RunnableLambda
- if you do want streaming write a generator and pass it to RunnableGenerator
```py
import json
from typing import AsyncIterator
from langchain_core.messages... | {
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New versions
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Load... | {
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I've been trying to create a self query retriever so that I can look at metadata field info. This issue comes up. Should I be using another vector store to make this work? I can only really work with FAISS. I cannot use ChromaDB since my Python environment is limited to a previous version.
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... | closed | false | null | [] | null | 1 | 2023-12-29T21:37:37 | 2023-12-30T22:04:04 | 2023-12-30T22:04:04 | CONTRIBUTOR | null | - **Description:** updated all Vectara IPYNB files so that bullets look okay in docs (added newline)
- **Twitter handle:** @ofermend | {
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... | closed | false | null | [] | null | 1 | 2023-12-29T20:34:25 | 2023-12-29T23:59:01 | 2023-12-29T23:59:00 | COLLABORATOR | null | - Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
<!-- 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.
Replace this... | {
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This proposal requests the integration of the latest OpenAI models, specifically gpt-4-1106-preview, into the existing framework of [relevant GitHub project, e.g., LangChain]. The newer models offer significantly larger context windows, which are crucial for complex SQL querying and other advanced ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15327 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15327/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15327/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15327/events | https://github.com/langchain-ai/langchain/pull/15327 | 2,060,369,764 | PR_kwDOIPDwls5i85gQ | 15,327 | core: Update messages/__init__.py to account for AIMessageChunk which breaks message history runnable. | {
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... | closed | false | null | [] | null | 2 | 2023-12-29T20:00:52 | 2023-12-29T21:47:54 | 2023-12-29T21:41:47 | CONTRIBUTOR | null | - **Description:** fix parse issue for AIMessageChunk when using
- **Issue:** https://github.com/langchain-ai/langchain/issues/14511
- **Dependencies:** none
- **Twitter handle:** none
Taken from this fix: https://github.com/gpt-engineer-org/gpt-engineer/issues/804#issuecomment-1769853850
Please make ... | {
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"id":... | open | false | null | [] | null | 1 | 2023-12-29T19:38:49 | 2023-12-29T19:48:21 | null | NONE | null | ### Issue with current documentation:
how to use embeddings in langchain with fireworks?(I need it for RAG) It's just that the documentation only talks about OpenAIEmbeddings
https://python.langchain.com/docs/modules/data_connection/text_embedding/
### Idea or request for content:
RAG with fireworks API | {
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... | closed | false | null | [] | null | 1 | 2023-12-29T17:46:57 | 2023-12-29T19:50:06 | 2023-12-29T19:50:05 | CONTRIBUTOR | null | - **Description:** in the code_understanding.ipynb example, the loader errors out on the langchain/libs/community/tests/examples/non-utf8-encoding.py file, so I updated the loader to exclude that file. Excluding that file allows the example to run.
- **Issue:** not applicable
- **Dependencies:** none
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"url... | closed | false | null | [] | null | 1 | 2023-12-29T16:42:17 | 2023-12-29T19:53:31 | 2023-12-29T19:53:31 | CONTRIBUTOR | null | Correcting a small typo ('the' instead of 'then') and changing another 'the' (instead of 'then' too, it was a hard day for the 'n' key :D) to 'also' to match better with what is done in the code
<!-- Thank you for contributing to LangChain!
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https://api.github.com/repos/langchain-ai/langchain/issues/15318 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15318/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15318/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15318/events | https://github.com/langchain-ai/langchain/issues/15318 | 2,060,210,050 | I_kwDOIPDwls56zE-C | 15,318 | Issue when running a simple ChatOllama prompt in Next.js/TypeScript: "Error: Single '}' in template." | {
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... | closed | false | null | [] | null | 2 | 2023-12-29T15:48:07 | 2023-12-29T16:03:41 | 2023-12-29T16:03:41 | NONE | null | ### System Info
"langchain": "^0.0.211",
MacOS Sonoma 14.2
Next.js 14.0.4
### Who can help?
@agola11
@hwc
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Tem... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15317 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15317/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15317/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15317/events | https://github.com/langchain-ai/langchain/issues/15317 | 2,059,715,813 | I_kwDOIPDwls56xMTl | 15,317 | Issue: Error Handling in Tools used in custom agents | {
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"node_id... | open | false | null | [] | null | 1 | 2023-12-29T12:44:32 | 2023-12-29T12:53:47 | null | NONE | null | ### Issue you'd like to raise.
I have built a custom LLM Agent by following the Documentation provided. The custom agent contains multiple tools, one of them is the "LLMMathChain" which is giving me ValueError, cause my agent is passing "None" as an Action Input. I want to handle that error. So that my chatbot doesn't... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15316 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15316/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15316/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15316/events | https://github.com/langchain-ai/langchain/issues/15316 | 2,059,700,790 | I_kwDOIPDwls56xIo2 | 15,316 | Add common mulit model support | {
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Presently, JSON can be utilized to enable the multimodal capability of GPT-4 series models within ChatOpenAI and OpenAI. However, this functionality lacks portability.
### Motivation
Using multimodal approaches lacks portability, and GPT-4 isn't the sole model employing multimodal capabilities. T... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15315 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15315/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15315/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15315/events | https://github.com/langchain-ai/langchain/issues/15315 | 2,059,344,749 | I_kwDOIPDwls56vxtt | 15,315 | Issue: How can I implement Conversation Chain along with ConversationSummaryMemory | {
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"node_... | open | false | null | [] | null | 1 | 2023-12-29T11:23:25 | 2023-12-29T11:31:41 | null | NONE | null | ### Issue you'd like to raise.
below is my code, How can I implement Conversation Chain along with ConversationSummaryMemory in my code
`def retreival_qa_chain(chroma_db_path):
embedding = OpenAIEmbeddings()
vectordb = Chroma(persist_directory=chroma_db_path, embedding_function=embedding)
llm = ChatOp... | {
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... | open | false | null | [] | null | 1 | 2023-12-29T10:42:37 | 2023-12-29T10:52:37 | null | NONE | null | ### Issue you'd like to raise.
I am trying to add a specific prompt template to my ConversationalRetrievalChain. This is my current code:
> PROMPT_TEMPLATE = """
Act as the policies interactive Bot that gives advice on the Company policies, Travel policies, and Information security policies for the company.
Do ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15311 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15311/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15311/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15311/events | https://github.com/langchain-ai/langchain/pull/15311 | 2,059,260,313 | PR_kwDOIPDwls5i7ZVy | 15,311 | Feat: support RunnableBranch constructed with `|` | {
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... | closed | false | null | [] | null | 2 | 2023-12-29T09:55:58 | 2024-01-02T02:34:14 | 2024-01-01T22:25:59 | CONTRIBUTOR | null | ```python
from langchain_core.runnables import RunnableBranch
branch = RunnableBranch(
(lambda x: isinstance(x, str), lambda x: x.upper()),
(lambda x: isinstance(x, int), lambda x: x + 1),
(lambda x: isinstance(x, float), lambda x: x * 2),
lambda x: "goodbye",
)
branch.invoke("hello") # "H... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15310 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15310/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15310/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15310/events | https://github.com/langchain-ai/langchain/issues/15310 | 2,059,251,491 | I_kwDOIPDwls56va8j | 15,310 | Slow aadd_documents using Qdrant and HuggingfaceEmbeddings on CPU | {
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"id":... | open | false | null | [] | null | 1 | 2023-12-29T09:45:06 | 2023-12-29T09:52:34 | null | NONE | null | ### System Info
lc: 0.0.352, os: ubuntu 22, python 3.10
### Who can help?
### Description
I am encountering a significant performance issue when using Qdrant with HuggingfaceEmbeddings in a CPU-only environment, specifically within a FastAPI endpoint. The process is notably slow, particularly at the `aadd_documen... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15309 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15309/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15309/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15309/events | https://github.com/langchain-ai/langchain/pull/15309 | 2,059,246,860 | PR_kwDOIPDwls5i7Wdf | 15,309 | community: corrected typo in .readthedocs.yaml | {
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... | closed | false | null | [] | null | 1 | 2023-12-29T09:39:08 | 2023-12-29T21:40:34 | 2023-12-29T21:40:34 | CONTRIBUTOR | null | corrected a possible typing mistake in .readthedocs.yaml | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15308 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15308/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15308/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15308/events | https://github.com/langchain-ai/langchain/pull/15308 | 2,059,233,060 | PR_kwDOIPDwls5i7Ti8 | 15,308 | Docs: add param comment for `tracing_v2_enabled` | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15306 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15306/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15306/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15306/events | https://github.com/langchain-ai/langchain/issues/15306 | 2,059,175,187 | I_kwDOIPDwls56vIUT | 15,306 | The retrieval cannot be given the document correctly | {
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"id": 56... | open | false | null | [] | null | 4 | 2023-12-29T08:00:29 | 2024-01-01T01:34:14 | null | NONE | null | ### System Info
langchain 0.0.340
### Who can help?
@eyurtsev
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [X] Output Parsers
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15305 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15305/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15305/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15305/events | https://github.com/langchain-ai/langchain/pull/15305 | 2,059,164,783 | PR_kwDOIPDwls5i7FCz | 15,305 | new feature: add github file loader to load any github file content b… | {
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... | open | false | null | [] | null | 3 | 2023-12-29T07:44:02 | 2024-01-13T13:47:02 | null | CONTRIBUTOR | null | ### Description
support load any github file content based on file extension.
Why not use [git loader](https://python.langchain.com/docs/integrations/document_loaders/git#load-existing-repository-from-disk) ?
git loader clones the whole repo even only interested part of files, that's too heavy. This GithubFile... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15304 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15304/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15304/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15304/events | https://github.com/langchain-ai/langchain/issues/15304 | 2,059,159,495 | I_kwDOIPDwls56vEfH | 15,304 | How do i use similarity caching in my code? | {
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"id":... | open | false | null | [] | null | 1 | 2023-12-29T07:36:10 | 2023-12-29T07:44:03 | null | NONE | null | Hi @dosu-bot,
This is my code
```
import langchain
from langchain.cache import SQLAlchemyCache, Emb
from sqlalchemy import create_engine
from sqlalchemy.orm import declarative_base
from sqlalchemy import Column, Integer, Text
from urllib.parse import quote_plus
from langchain.llms import OpenAI
Base = dec... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15303 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15303/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15303/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15303/events | https://github.com/langchain-ai/langchain/issues/15303 | 2,059,118,347 | I_kwDOIPDwls56u6cL | 15,303 | Cache not getting saved in ConversationalRetrievalChain | {
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"node_... | open | false | null | [] | null | 1 | 2023-12-29T06:30:14 | 2023-12-29T06:40:07 | null | NONE | null | Hi @dosu-bot.
Below is my code,
```
from langchain.cache import SQLAlchemyCache
from sqlalchemy import create_engine
engine = create_engine("mssql+pyodbc://JUPYTER\SQLEXPRESS/my_database?driver=ODBC+Driver+17+for+SQL Server")
set_llm_cache(SQLAlchemyCache(engine))
memory = ConversationBufferWindowMemory(k... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15302 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15302/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15302/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15302/events | https://github.com/langchain-ai/langchain/pull/15302 | 2,059,027,976 | PR_kwDOIPDwls5i6oK8 | 15,302 | Feat: support OpenAIAssistantRunnable async | {
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"node_id... | open | false | null | [] | null | 3 | 2023-12-29T03:25:02 | 2023-12-29T05:03:48 | null | CONTRIBUTOR | null | fix https://github.com/langchain-ai/langchain/issues/15299 | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15301 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15301/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15301/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15301/events | https://github.com/langchain-ai/langchain/pull/15301 | 2,059,011,980 | PR_kwDOIPDwls5i6k8M | 15,301 | Patch: improve check openai version | {
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Hi,
I'm new to this, so I apologize if my lack of in-depth understanding to how this library works caused to me raise a false alarm. Im trying to an ocr on pdf image using the UnstructuredPDFLoader, Im passing the following args:
`
loader = UnstructuredPDFLoader(file_path="myfile.pdf", mode="elem... | {
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langchain = "^0.0.352"
@agola11
### Who can help?
@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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- **Description:** integrate China Mobile Ecloud vector search,
- **Dependencies:** elasticsearch==7.10.1
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Also, some agent toolkits (like pandas and python) will require more work | {
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LLM
ChatModels
Retrievers
Agents
Tools
I held off adding for vectorstore since its a bit more involved and we dont have a good base and i think its more likely people write custom retrievers than vectorstores? | {
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- **Description:** Adds support for logprobs within vertex ai, recently google started to support logprobs, this commit includes fast adaptation, Google recently started supporting logprobs, please check out this [page](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text#generative-ai-text-... | {
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```
from langchain.tools import DuckDuckGoSearchRun
from langchain.agents.openai_assistant import OpenAIAssistantRunnable
from langchain.agents import AgentExecutor
tools = [DuckDuckGoSearchRun()]
assistant = OpenAIAssistantRunnable.create_assistant(
name="langchain assistant",
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... | closed | false | null | [] | null | 2 | 2023-12-28T13:14:32 | 2024-01-10T00:27:22 | 2024-01-10T00:27:22 | CONTRIBUTOR | null | ### System Info
Python: 3.11
Langchain: 0.0.352
mistralai: 0.0.8
### Who can help?
@efriis
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt ... | {
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... | open | false | null | [] | null | 2 | 2023-12-28T12:39:16 | 2024-01-05T12:28:00 | null | CONTRIBUTOR | null | ### **Description:**
`openai` v1 no longer supports the method of setting `openai.proxy`. If using `OPENAI_PRPXY`, the users need to initialize an `http_client`.
### **Issue:**
https://github.com/langchain-ai/langchain/issues/13939 | {
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Is there any way to manipulate the data in database like update, insert, delete through chatgpt chatbot with openai and langchain?
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Mo... | {
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... | closed | false | null | [] | null | 1 | 2023-12-28T11:41:31 | 2023-12-28T16:05:25 | 2023-12-28T16:05:25 | CONTRIBUTOR | null | ### Description
I found that the methods in [the doctran library](https://github.com/psychic-api/doctran) have been restructured into [synchronized versions](https://github.com/psychic-api/doctran/commit/14944a59f7513b51e629a850e0de5ae276eabed9),
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According to the documentation listed under the page: https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions, adding a `BaseChatMemory` as `memory` property to an `OpenAIFunctionAgent` should add "memory" to the agent.
**Example listed under the p... | {
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"id": 56... | open | false | null | [] | null | 1 | 2023-12-28T09:48:44 | 2023-12-28T09:57:29 | null | NONE | null | ### Feature request
It should be possible to search a Chroma vectorstore for a particular Document by it's ID. Given that the Document object is required for the `update_document` method, this lack of functionality makes it difficult to update document metadata, which should be a fairly common use-case.
Currently, ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15260 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15260/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15260/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15260/events | https://github.com/langchain-ai/langchain/pull/15260 | 2,058,209,122 | PR_kwDOIPDwls5i33y5 | 15,260 | Documentation: Update playwright documentation for langchain version >= 0.0.351 | {
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... | closed | false | null | [] | null | 1 | 2023-12-28T09:34:14 | 2024-01-01T21:38:57 | 2024-01-01T21:38:57 | CONTRIBUTOR | null | - A documentation change in the example listed under: https://python.langchain.com/docs/integrations/toolkits/playwright
- `create_async_playwright_browser` does not exist under the module: `langchain.tools.playwright.utils` post >= 0.0.351 version
- No dependencies to be changed
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If this has any issues, I'll fix the code and update.
If this offends anyone I will close it immediately. | {
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0.0.350
### 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
- [ ] Document Loader... | {
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... | open | false | null | [] | null | 1 | 2023-12-28T07:17:09 | 2023-12-28T07:28:50 | null | NONE | null | ### System Info
Python: 3.10
from langchain.chat_models import ChatOpenAI
openai = ChatOpenAI(model_name="gpt-3.5-turbo",
temperature=0.8,
max_tokens=60)
error occurs at openai.py, error message is: AttributeError: module 'openai' has no attribute 'OpenAI'
the re... | {
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Similar to the way callbacks are implemented in BaseLLM the embedding class should also support callbacks.
### Motivation
When using embedding models in a RAG application it would be useful to track e.g. the number of tokens.
Callbacks can be used to log usage details to monitoring services (e... | {
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- **Issue:** This fixes [Issue #14631](https://github.com/langchain-ai/langchain/issues/14631)
- **Twitter handle:** [@consultchrisq ](https://twitter.com/consultchrisq?lang=en)
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- **Issue:** This fixes [Issue #14631](https://github.com/langchain-ai/langchain/issues/14631)
- **Twitter handle:** [@consultchrisq ](https://twitter.com/consultchrisq?lang=en)
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What should I do if I want to log the number of tokens shot with llm in chain via lcel?
### Suggestion:
lcel chain token usage tracking | {
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I do not understand how chains are built with the transfer of information between generations. here is an example of the code in the langchain [documentation](https://python.langchain.com/docs/expression_language/why):
```
from langchain_core.runnables import RunnablePassthrou... | {
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Based on the documentation and RFC standards referenced in the links:
- https://peps.python.org/pep-0604/
- https://www.blog.pythonlibrary.org/2021/09/11/python-3-10-simplifies-unions-in-type-annotations/
it's evident that the introduction of using | instead of 'union' for type an... | {
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如何对langchain加载的chatglm-6b模型进行量化处理
### Who can help?
@hwchase17 @hwchase17
@agola11
### 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/15242 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15242/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15242/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15242/events | https://github.com/langchain-ai/langchain/pull/15242 | 2,057,897,920 | PR_kwDOIPDwls5i21hT | 15,242 | community: allow additional kwargs in MlflowEmbeddings for compatibility with Cohere API | {
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- **Description:** add support for kwargs in`MlflowEmbeddings` `embed_document()` and `embed_query()` so that all the arguments required by Cohere API (and ot... | {
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... | open | false | null | [] | null | 2 | 2023-12-28T01:16:39 | 2024-01-08T01:17:30 | null | CONTRIBUTOR | null | Fixes https://github.com/langchain-ai/langchain/issues/10483
<!-- Thank you for contributing to LangChain!
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https://api.github.com/repos/langchain-ai/langchain/issues/15239 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15239/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15239/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15239/events | https://github.com/langchain-ai/langchain/issues/15239 | 2,057,882,953 | I_kwDOIPDwls56qM1J | 15,239 | error when running the sample code from the langchain documentation about fireworks | {
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... | closed | false | null | [] | null | 1 | 2023-12-28T01:10:59 | 2023-12-28T01:24:35 | 2023-12-28T01:24:35 | NONE | null | ### System Info
I used the standard code example from the langchain documentation about Fireworks where I inserted my API key. That's the mistake I made:
```
[llm/start] [1:llm:Fireworks] Entering LLM run with input:
{
"prompts": [
"Name 3 sports."
]
}
[llm/error] [1:llm:Fireworks] [761ms] LLM run erro... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15237 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15237/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15237/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15237/events | https://github.com/langchain-ai/langchain/issues/15237 | 2,057,877,277 | I_kwDOIPDwls56qLcd | 15,237 | DOC: langchain plus OpenAI-compatible URL API equally error | {
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"description": "A specific question about the codebase, product, project, or how to... | closed | false | null | [] | null | 6 | 2023-12-28T00:56:43 | 2024-01-04T16:19:09 | 2024-01-04T16:19:09 | NONE | null | ### Issue with current documentation:
hello everyone! Is it possible to use the OpenAI-compatible URL API from text-generation-webui with langchain? the langchain [documentation](https://python.langchain.com/docs/integrations/llms/textgen) says about localhost, but I don't have access to it, I tried to insert the link... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/15236 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/15236/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/15236/comments | https://api.github.com/repos/langchain-ai/langchain/issues/15236/events | https://github.com/langchain-ai/langchain/issues/15236 | 2,057,867,182 | I_kwDOIPDwls56qI-u | 15,236 | Issue: validation errors for ConversationalRetrievalChain | {
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... | open | false | null | [] | null | 3 | 2023-12-28T00:30:51 | 2023-12-28T00:50:03 | null | NONE | null | ### Issue you'd like to raise.
I am receiving this error 2 validation errors for ConversationalRetrievalChain
qa_template
extra fields not permitted (type=value_error.extra)
question_generator_chain_options
extra fields not permitted (type=value_error.extra) , for the following code :
```
retriever = v... | {
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... | open | false | null | [] | null | 1 | 2023-12-28T00:20:19 | 2023-12-28T00:27:48 | null | NONE | null | ### System Info
Langchain version: 0.0.340
Python version: 3.11.0
### Who can help?
@hwchase17
@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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"id":... | open | false | null | [] | null | 2 | 2023-12-27T23:59:40 | 2023-12-28T23:42:11 | null | NONE | null | ### System Info
python = "3.11"
langchain = "0.0.352"
cohere = "4.39"
mlflow = {extras = ["genai"], version = "2.9.2"}
### Who can help?
@harupy
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Cha... | {
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