issue_owner_repo listlengths 2 2 | issue_body stringlengths 0 261k โ | issue_title stringlengths 1 925 | issue_comments_url stringlengths 56 81 | issue_comments_count int64 0 2.5k | issue_created_at stringlengths 20 20 | issue_updated_at stringlengths 20 20 | issue_html_url stringlengths 37 62 | issue_github_id int64 387k 2.46B | issue_number int64 1 127k |
|---|---|---|---|---|---|---|---|---|---|
[
"hwchase17",
"langchain"
] | I keep getting this error every time I try to ask my data a question using the code from "[chat_vector_db.ipynb](https://github.com/hwchase17/langchain/blob/f356cca1f278ac73f8e59f49da39854e1e47a205/docs/modules/chat/examples/chat_vector_db.ipynb)" notebook, so how can I fix this and is this from my stored data and if i... | UnicodeEncodeError Using Chat Vector and My Own Data | https://api.github.com/repos/langchain-ai/langchain/issues/2121/comments | 8 | 2023-03-28T23:02:07Z | 2023-09-26T16:12:59Z | https://github.com/langchain-ai/langchain/issues/2121 | 1,644,771,527 | 2,121 |
[
"hwchase17",
"langchain"
] | OpenAI python client supports passing additional headers when invoking the following functions
`openai.ChatCompletion.create`
or
`openai.Completion.create`
For example: I can pass the headers as shown in the sample code below.
```
completion = openai.Completion.create(deployment_id=deployment_id,
... | Unable to pass headers to Completion, ChatCompletion, Embedding endpoints | https://api.github.com/repos/langchain-ai/langchain/issues/2120/comments | 4 | 2023-03-28T22:29:45Z | 2023-09-27T16:11:24Z | https://github.com/langchain-ai/langchain/issues/2120 | 1,644,740,925 | 2,120 |
[
"hwchase17",
"langchain"
] | I'm trying to save embeddings in Redis vectorstore and when I try to execute getting the following error. Any idea if this is a bug or if anything is wrong with my code? Any help is appreciated.
langchain version - both 0.0.123 and 0.0.124
Python 3.8.2
File "/Users/aruna/PycharmProjects/redis-test/database.py", ... | Unable save embeddings in Redis vectorstore | https://api.github.com/repos/langchain-ai/langchain/issues/2113/comments | 16 | 2023-03-28T20:22:00Z | 2024-03-15T05:05:26Z | https://github.com/langchain-ai/langchain/issues/2113 | 1,644,606,036 | 2,113 |
[
"hwchase17",
"langchain"
] | while using llama_index GPTSimpleVectorIndex
I am reading a pdf file using SimpleDirectoryReader.
I am unable to create index for the file and it is generating the below error:
**INFO:openai:error_code=None error_message='Too many inputs for model None. The max number of inputs is 1. We hope to increase the nu... | openai:error_code=None error_message='Too many inputs for model None. The max number of inputs is 1. | https://api.github.com/repos/langchain-ai/langchain/issues/2096/comments | 9 | 2023-03-28T14:48:14Z | 2023-09-28T16:10:17Z | https://github.com/langchain-ai/langchain/issues/2096 | 1,644,118,649 | 2,096 |
[
"hwchase17",
"langchain"
] | I need to supply a 'where' value to filter on metadata to Chromadb `similarity_search_with_score` function. I can't find a straightforward way to do it. Is there some way to do it when I kickoff my chain? Any hints, hacks, plans to support? | How to pass filter down to Chroma db when using ConversationalRetrievalChain | https://api.github.com/repos/langchain-ai/langchain/issues/2095/comments | 23 | 2023-03-28T14:47:44Z | 2024-01-01T09:39:52Z | https://github.com/langchain-ai/langchain/issues/2095 | 1,644,117,753 | 2,095 |
[
"hwchase17",
"langchain"
] | Hi,
There seems to be a bug when trying to load a serialize faiss index when using Azure through OpenAIEmbeddings.
I get the following error:
```{python}
AttributeError: Can't get attribute 'Document' on <module 'langchain.schema' from '/langchain/schema.py'>
```
| Can't load faiss index when using Azure embeddings | https://api.github.com/repos/langchain-ai/langchain/issues/2094/comments | 2 | 2023-03-28T14:23:38Z | 2023-09-10T16:40:07Z | https://github.com/langchain-ai/langchain/issues/2094 | 1,644,073,204 | 2,094 |
[
"hwchase17",
"langchain"
] | As the title says, there's a full implementation of ConversationalChatAgent which however is not in the __init__ file of agents, thus could not import it by
`from langchain.agents import ConversationalChatAgent`
I'm going to fix this right now. | ConversationalChatAgent is not in agent.__init__.py | https://api.github.com/repos/langchain-ai/langchain/issues/2093/comments | 0 | 2023-03-28T13:43:34Z | 2023-03-28T15:14:24Z | https://github.com/langchain-ai/langchain/issues/2093 | 1,643,984,599 | 2,093 |
[
"hwchase17",
"langchain"
] | Hello i'm trying to provide a diifferent API key for each profile, but it seems that the last profile API key i set is the one used by all the profiles, is there a way to force use each profile its dedicated key? | Multiple openai keys | https://api.github.com/repos/langchain-ai/langchain/issues/2091/comments | 9 | 2023-03-28T12:34:07Z | 2023-10-28T16:07:45Z | https://github.com/langchain-ai/langchain/issues/2091 | 1,643,856,338 | 2,091 |
[
"hwchase17",
"langchain"
] | I am using the latest version and i get this error message while only trying to:
from langchain.chains.chat_index.prompts import CONDENSE_QUESTION_PROMPT
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[... | On the latest version 0.0.123 i get No module named 'langchain.chains.chat_index' | https://api.github.com/repos/langchain-ai/langchain/issues/2090/comments | 13 | 2023-03-28T09:35:57Z | 2023-12-08T16:08:40Z | https://github.com/langchain-ai/langchain/issues/2090 | 1,643,564,375 | 2,090 |
[
"hwchase17",
"langchain"
] | No module 'datasets' found in langchain.evaluation | ModuleNotFoundError: No module named 'datasets' | https://api.github.com/repos/langchain-ai/langchain/issues/2088/comments | 2 | 2023-03-28T08:22:52Z | 2023-06-16T15:37:47Z | https://github.com/langchain-ai/langchain/issues/2088 | 1,643,446,461 | 2,088 |
[
"hwchase17",
"langchain"
] | I'm testing on windows where default encoding is cp1252 and not utf-8 and I still have encoding problems that cannot overcome. | Add optional encoding parameter on each Loader | https://api.github.com/repos/langchain-ai/langchain/issues/2087/comments | 2 | 2023-03-28T08:10:59Z | 2023-09-18T16:22:19Z | https://github.com/langchain-ai/langchain/issues/2087 | 1,643,429,036 | 2,087 |
[
"hwchase17",
"langchain"
] | Was trying to follow the document to run summarization, here's my code:
```python
from langchain.text_splitter import CharacterTextSplitter
from langchain.chains.mapreduce import MapReduceChain
from langchain.prompts import PromptTemplate
llm = OpenAI(temperature=0, engine='text-davinci-003')
text_splitter ... | load_summarize_chain cannot run | https://api.github.com/repos/langchain-ai/langchain/issues/2081/comments | 4 | 2023-03-28T05:41:15Z | 2023-04-14T11:41:02Z | https://github.com/langchain-ai/langchain/issues/2081 | 1,643,238,154 | 2,081 |
[
"hwchase17",
"langchain"
] | Trying to run a simple script:
```
from langchain.llms import OpenAI
llm = OpenAI(temperature=0.9)
text = "What would be a good company name for a company that makes colorful socks?"
print(llm(text))
```
I'm running into this error:
`ModuleNotFoundError: No module named 'langchain.llms'; 'langchain' is not ... | 'langchain' is not a package | https://api.github.com/repos/langchain-ai/langchain/issues/2079/comments | 29 | 2023-03-28T04:42:16Z | 2024-04-26T03:52:15Z | https://github.com/langchain-ai/langchain/issues/2079 | 1,643,187,784 | 2,079 |
[
"hwchase17",
"langchain"
] | from langchain.document_loaders.csv_loader import CSVLoader
loader = CSVLoader(file_path='docs/whats-new-latest.csv', csv_args={
'fieldnames': ['Line of Business',
'Short Description'
]
})
data = loader.load()
print(data)
/.pyenv/versions/3.9.2/envs/s4-hana-chatb... | 'NoneType' object has no attribute 'strip' | https://api.github.com/repos/langchain-ai/langchain/issues/2074/comments | 9 | 2023-03-28T03:06:17Z | 2023-11-17T18:19:35Z | https://github.com/langchain-ai/langchain/issues/2074 | 1,643,123,069 | 2,074 |
[
"hwchase17",
"langchain"
] | E.g. running
```python
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.llms import OpenAI
llm = OpenAI(temperature=0)
tools = load_tools(["llm-math"], llm=llm)
agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True, return_in... | `initialize_agent` does not work with `return_intermediate_steps=True` | https://api.github.com/repos/langchain-ai/langchain/issues/2068/comments | 18 | 2023-03-28T00:50:15Z | 2024-02-23T16:09:08Z | https://github.com/langchain-ai/langchain/issues/2068 | 1,643,029,722 | 2,068 |
[
"hwchase17",
"langchain"
] | This definition:
"purchase_order": """CREATE TABLE purchase_order (
id SERIAL NOT NULL,
name VARCHAR NOT NULL,
origin VARCHAR,
partner_ref VARCHAR,
date_order TIMESTAMP NOT NULL,
date_approve DATE,
partner_id INTEGER NOT NULL,
state VARCHAR,
notes TEXT,
amount_untax... | DB Tools - Table definitions cam be shortened with some asumptions in order to keep used token low. | https://api.github.com/repos/langchain-ai/langchain/issues/2067/comments | 1 | 2023-03-28T00:36:30Z | 2023-08-25T16:14:11Z | https://github.com/langchain-ai/langchain/issues/2067 | 1,643,021,881 | 2,067 |
[
"hwchase17",
"langchain"
] | I tried to map my db that have a lot of views that can leverage the whoole work. But the initial check does not allow this, also by having custom_table_info that describe the view structure. | DB Tools - Allow to reference also views thru custom_table_info | https://api.github.com/repos/langchain-ai/langchain/issues/2066/comments | 2 | 2023-03-28T00:31:19Z | 2023-09-10T16:40:17Z | https://github.com/langchain-ai/langchain/issues/2066 | 1,643,018,821 | 2,066 |
[
"hwchase17",
"langchain"
] | ### Alpaca-LoRA
[Alpaca-LoRA](https://github.com/tloen/alpaca-lora) and Stanford Alpaca are NLP models that use the GPT architecture, but there are some critical differences between them. Here are three:
- **Training data**: Stanford Alpaca was trained on a larger dataset that includes a variety of sources, inclu... | Alpaca-LoRA | https://api.github.com/repos/langchain-ai/langchain/issues/2063/comments | 4 | 2023-03-27T23:41:12Z | 2023-09-29T16:09:41Z | https://github.com/langchain-ai/langchain/issues/2063 | 1,642,978,571 | 2,063 |
[
"hwchase17",
"langchain"
] | 
Moreover, I cannot use multiple prompts using `ChatPromptTemplate.from_messages` | map_rerank custom prompts don't work with SystemMessagePromptTemplate | https://api.github.com/repos/langchain-ai/langchain/issues/2053/comments | 1 | 2023-03-27T19:42:33Z | 2023-08-21T16:07:44Z | https://github.com/langchain-ai/langchain/issues/2053 | 1,642,705,217 | 2,053 |
[
"hwchase17",
"langchain"
] | I was reading this blog post: https://blog.langchain.dev/retrieval/
There is this link:
> Other types of indexes, [like graphs](https://langchain.readthedocs.io/en/latest/modules/indexes/chain_examples/graph_qa.html), have piqued user's interests
Currently goes to a RTD 404 page
If I google for "langchain g... | Graph QA docs links are broken currently | https://api.github.com/repos/langchain-ai/langchain/issues/2049/comments | 3 | 2023-03-27T16:37:18Z | 2023-08-14T20:20:49Z | https://github.com/langchain-ai/langchain/issues/2049 | 1,642,438,709 | 2,049 |
[
"hwchase17",
"langchain"
] | I understand that brace brackets "{ }" are used for the text replacement. I was wondering if we are able to use the brace brackets in our prompts where we want them to act as just text and do not want them to replace text, for example with c++ classes.
```c++
#include <string>
class BankAccount {
public:
/... | How to use brace brackets | https://api.github.com/repos/langchain-ai/langchain/issues/2048/comments | 2 | 2023-03-27T16:21:43Z | 2023-10-24T07:51:46Z | https://github.com/langchain-ai/langchain/issues/2048 | 1,642,415,345 | 2,048 |
[
"hwchase17",
"langchain"
] | Is there a way to redirect the verbose logs away from stdout? I'm working on a frontend app, and I'd like to collect the logs to display in the frontend, but couldn't find in the docs a way to capture them into a variable or similar. | Redirect vebose logs | https://api.github.com/repos/langchain-ai/langchain/issues/2045/comments | 4 | 2023-03-27T15:27:23Z | 2023-07-18T03:25:03Z | https://github.com/langchain-ai/langchain/issues/2045 | 1,642,322,662 | 2,045 |
[
"hwchase17",
"langchain"
] | Many OpenAI plugin implementations are starting to use yaml for the api doc.
```python
class AIPluginTool(BaseTool):
api_spec: str
def from_plugin_url(cls, url: str) -> "AIPluginTool":
response = requests.get(url)
if response.headers["Content-Type"] == "application/json":
... | Support also yaml files for the AIPluginTool | https://api.github.com/repos/langchain-ai/langchain/issues/2042/comments | 1 | 2023-03-27T15:01:41Z | 2023-03-28T07:54:03Z | https://github.com/langchain-ai/langchain/issues/2042 | 1,642,275,010 | 2,042 |
[
"hwchase17",
"langchain"
] | Hey team,
As you can in the `get_docs` method there is no option to provide kwargs arguments, even the top_k is not updating. Do I have to make any changes on how to pass this info, or will it get fixed. | kwargs for ConversationalRetrievalChain | https://api.github.com/repos/langchain-ai/langchain/issues/2038/comments | 1 | 2023-03-27T13:41:57Z | 2023-03-28T06:46:16Z | https://github.com/langchain-ai/langchain/issues/2038 | 1,642,090,994 | 2,038 |
[
"hwchase17",
"langchain"
] | Since `llms.OpenAIChat` is deprecated and `chat_models.ChatOpenAI` is sugguested in latest releases, I think it is necessary to add `prefix_messages` to `ChatOpenAI`, just like it in `OpenAIChat` so that we can provide messages to this chat model, for example, provide a system message helps set the behavior of the assi... | Add prefix_messages property to ChatOpenAI | https://api.github.com/repos/langchain-ai/langchain/issues/2036/comments | 4 | 2023-03-27T13:20:40Z | 2023-03-30T06:43:02Z | https://github.com/langchain-ai/langchain/issues/2036 | 1,642,034,579 | 2,036 |
[
"hwchase17",
"langchain"
] | Since `llms.OpenAIChat` is deprecated and `chat_models.ChatOpenAI` is sugguested in latest releases, I think it is necessary to add `prefix_messages` to `ChatOpenAI`, just like it in `OpenAIChat` so that we can provide messages to this chat model, for example, provide a system message helps set the behavior of the assi... | Add prefix_messages property to ChatOpenAI | https://api.github.com/repos/langchain-ai/langchain/issues/2035/comments | 0 | 2023-03-27T13:17:19Z | 2023-03-27T13:24:21Z | https://github.com/langchain-ai/langchain/issues/2035 | 1,642,026,037 | 2,035 |
[
"hwchase17",
"langchain"
] | Since `llms.OpenAIChat` is deprecated and `chat_models.ChatOpenAI` is sugguested in latest releases, I think it is necessary to add `prefix_messages` to `ChatOpenAI`, just like it in `OpenAIChat` so that we can provide messages to this chat model, for example, provide a system message helps set the behavior of the assi... | Add prefix_messages property to ChatOpenAI | https://api.github.com/repos/langchain-ai/langchain/issues/2034/comments | 0 | 2023-03-27T13:15:06Z | 2023-03-27T13:24:10Z | https://github.com/langchain-ai/langchain/issues/2034 | 1,642,025,652 | 2,034 |
[
"hwchase17",
"langchain"
] | Since `llms.OpenAIChat` is deprecated and `chat_models.ChatOpenAI` is sugguested in latest releases, I think it is necessary to add `prefix_messages` to `ChatOpenAI`, just like it in `OpenAIChat` so that we can provide messages to this chat model, for example, provide a system message helps set the behavior of the assi... | Add prefix_messages property to ChatOpenAI | https://api.github.com/repos/langchain-ai/langchain/issues/2033/comments | 0 | 2023-03-27T13:14:20Z | 2023-03-27T13:24:01Z | https://github.com/langchain-ai/langchain/issues/2033 | 1,642,025,513 | 2,033 |
[
"hwchase17",
"langchain"
] | Since `llms.OpenAIChat` is deprecated and `chat_models.ChatOpenAI` is sugguested in latest releases, I think it is necessary to add `prefix_messages` to `ChatOpenAI`, just like it in `OpenAIChat` so that we can provide messages to this chat model, for example, provide a system message helps set the behavior of the assi... | Add prefix_messages property to ChatOpenAI | https://api.github.com/repos/langchain-ai/langchain/issues/2032/comments | 0 | 2023-03-27T13:14:06Z | 2023-03-27T13:23:42Z | https://github.com/langchain-ai/langchain/issues/2032 | 1,642,025,480 | 2,032 |
[
"hwchase17",
"langchain"
] | Since `langchain.llms.OpenAIChat` is deprecated and `langchain.chat_models.ChatOpenAI` is suggested in the latest versions,
but `ChatOpenAI` misses property `prefix_messages`, for example we can use this property to provide [a system message](https://platform.openai.com/docs/guides/chat/introduction) that helps set th... | Add missing property prefix_messages for ChatOpenAI | https://api.github.com/repos/langchain-ai/langchain/issues/2031/comments | 0 | 2023-03-27T13:07:57Z | 2023-03-27T13:22:49Z | https://github.com/langchain-ai/langchain/issues/2031 | 1,642,024,275 | 2,031 |
[
"hwchase17",
"langchain"
] | I just installed langchain and when I try to import WolframAlphaAPIWrapper using "from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper", this error message is returned. I checked site-packages to see if the utilities is there, these are the list of files and no utilities:
VERSION chains formatting.... | ModuleNotFoundError: No module named 'langchain.utilities' | https://api.github.com/repos/langchain-ai/langchain/issues/2029/comments | 7 | 2023-03-27T11:19:48Z | 2023-03-29T02:37:31Z | https://github.com/langchain-ai/langchain/issues/2029 | 1,641,927,118 | 2,029 |
[
"hwchase17",
"langchain"
] | It looks like the result returned from the `predict` call to generate the query is returned surrounded by double quotes, so when passed to the db it's taken as a malformed query.
Example (using a postgres db):
```
llm = ChatOpenAI(temperature=0, model_name="gpt-4") # type: ignore
db = SQLDatabase.from_uri("<URI>"... | SQLDatabaseChain malformed queries | https://api.github.com/repos/langchain-ai/langchain/issues/2027/comments | 11 | 2023-03-27T10:15:28Z | 2024-01-24T10:46:33Z | https://github.com/langchain-ai/langchain/issues/2027 | 1,641,823,337 | 2,027 |
[
"hwchase17",
"langchain"
] | I am using `RecursiveCharacterTextSplitter` to split my documents for ingestion into a vector db. What is the intuition for selecting optimal chunk parameters?
It seems to me that chunk_size influences the size of documents being retrieved. Does that mean I should select the largest possible chunk_size to ensure ma... | Intuition for selecting optimal chunk_size and chunk_overlap for RecursiveCharacterTextSplitter | https://api.github.com/repos/langchain-ai/langchain/issues/2026/comments | 13 | 2023-03-27T09:43:31Z | 2024-04-04T16:06:31Z | https://github.com/langchain-ai/langchain/issues/2026 | 1,641,765,150 | 2,026 |
[
"hwchase17",
"langchain"
] | openapi.json is so large for prompt token limit. and how to handle authorizations in the openai.json? | AIPluginTool submit long openapi.json in prompt exceeds the token limit | https://api.github.com/repos/langchain-ai/langchain/issues/2025/comments | 1 | 2023-03-27T08:16:49Z | 2023-08-21T16:07:49Z | https://github.com/langchain-ai/langchain/issues/2025 | 1,641,622,042 | 2,025 |
[
"hwchase17",
"langchain"
] | II'm using some variable data in my prompt, and sending that prompt to ConversationChain and there I'm getting some validation error.
what changes we can make it to work as expected?
| ConversationChain Validation Error | https://api.github.com/repos/langchain-ai/langchain/issues/2024/comments | 6 | 2023-03-27T05:44:59Z | 2023-09-26T16:13:24Z | https://github.com/langchain-ai/langchain/issues/2024 | 1,641,417,241 | 2,024 |
[
"hwchase17",
"langchain"
] | I am building an agent which answer user questions and I have plugged it with two tool, the regular llm and search tool like this
llm = OpenAI(temperature=0)
search = GoogleSerperAPIWrapper()
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, ... | How to use Serp only for current events related searches and use GPT for regular info | https://api.github.com/repos/langchain-ai/langchain/issues/2023/comments | 9 | 2023-03-27T05:38:09Z | 2023-09-28T16:10:27Z | https://github.com/langchain-ai/langchain/issues/2023 | 1,641,412,258 | 2,023 |
[
"hwchase17",
"langchain"
] | Trying to use `persist_directory` to have Chroma persist to disk:
```python
index = VectorstoreIndexCreator(vectorstore_kwargs={"persist_directory": "db"})
```
and it displays this warning message that implies it won't be persisted:
```
Using embedded DuckDB without persistence: data will be transient
```
How... | Setting Chroma persist_directory says "Using embedded DuckDB without persistence" | https://api.github.com/repos/langchain-ai/langchain/issues/2022/comments | 18 | 2023-03-27T05:29:14Z | 2024-03-30T20:14:14Z | https://github.com/langchain-ai/langchain/issues/2022 | 1,641,406,148 | 2,022 |
[
"hwchase17",
"langchain"
] | sqlalchemy in version 1.3.x, need to use select([]) way to query tables:
related stackoverflow question: https://stackoverflow.com/questions/62565993/sqlalchemy-exc-argumenterror-columns-argument-to-select-must-be-a-python-list
I will submit a PR to fix it | [bug]sqlalchemy 1.3.x compatibility issue | https://api.github.com/repos/langchain-ai/langchain/issues/2020/comments | 0 | 2023-03-27T05:22:30Z | 2023-03-28T06:45:52Z | https://github.com/langchain-ai/langchain/issues/2020 | 1,641,400,793 | 2,020 |
[
"hwchase17",
"langchain"
] | If you want to create a Qdrant index and keep adding documents (i.e. adding new documents to existing qdrant), when your embedding is sentence transformers `qdrant_index.add_documents(docs)` gives error.
Because the `embedding_function` which is `model.encode()` is returning either `numpy` or `tensor` array and has ... | Updating the Qdrant index with new documents raises error | https://api.github.com/repos/langchain-ai/langchain/issues/2016/comments | 5 | 2023-03-27T03:16:18Z | 2023-09-18T17:19:58Z | https://github.com/langchain-ai/langchain/issues/2016 | 1,641,294,710 | 2,016 |
[
"hwchase17",
"langchain"
] | It would be great to see integration with [OpenAssistant](https://github.com/LAION-AI/Open-Assistant) by @LAION-AI, which aims to become the [largest and most open alternative to ChatGPT](https://projects.laion.ai/Open-Assistant/blog/we-need-your-help#:~:text=largest%20and%20most%20open%20alternative%20to%20ChatGPT).
... | Open Assistant by LAION-AI | https://api.github.com/repos/langchain-ai/langchain/issues/2015/comments | 2 | 2023-03-27T00:18:02Z | 2023-09-28T16:10:32Z | https://github.com/langchain-ai/langchain/issues/2015 | 1,641,160,728 | 2,015 |
[
"hwchase17",
"langchain"
] | When verbose=True and the agent executor is run, then in get_prompt_input_key() an error is raised:
```python
raise ValueError(f"One input key expected got {prompt_input_keys}")
```
This is because there are two entries [verbose, input] not just one [input]. It may be that setting verbose=True is not relevant.... | Error raised in utils.py get_prompt_input_key when AgentExecutor.run verbose=True | https://api.github.com/repos/langchain-ai/langchain/issues/2013/comments | 3 | 2023-03-26T19:57:11Z | 2023-10-21T16:10:16Z | https://github.com/langchain-ai/langchain/issues/2013 | 1,641,060,799 | 2,013 |
[
"hwchase17",
"langchain"
] | In [here](https://python.langchain.com/en/latest/modules/indexes/vectorstore_examples/pinecone.html) - Pinecone.from_documents doesn't exist.
In the code [here](https://github.com/hwchase17/langchain/blob/master/langchain/vectorstores/pinecone.py) it is from_texts | Pinecone in docs is outdated | https://api.github.com/repos/langchain-ai/langchain/issues/2009/comments | 4 | 2023-03-26T18:02:47Z | 2023-12-09T14:17:37Z | https://github.com/langchain-ai/langchain/issues/2009 | 1,641,013,216 | 2,009 |
[
"hwchase17",
"langchain"
] | All "smart websites" will have AI-friendly API schemas, not just **robots.txt**. These websites will have JSON manifest files for LLMs (ex: **openai.yaml**) and LLM plugins (ex: **ai-plugin.json**). These JSON manifest files will allow LLM agents like ChatGPT to interact with websites without data scraping or parsing A... | JSON Manifest Files | https://api.github.com/repos/langchain-ai/langchain/issues/2008/comments | 1 | 2023-03-26T17:48:06Z | 2023-09-10T16:40:23Z | https://github.com/langchain-ai/langchain/issues/2008 | 1,641,007,401 | 2,008 |
[
"hwchase17",
"langchain"
] | I'd like to run query against `parquet` files with `duckdb`. I see some `duckdb` stuffs on the docs when I search it up, also there's this PR: https://github.com/hwchase17/langchain/pull/1991, which seems to be a nice addition. What are the missing pieces to make this work?
One workaround I've found is turning the `... | feat: parquet file support for SQL agent | https://api.github.com/repos/langchain-ai/langchain/issues/2002/comments | 3 | 2023-03-26T05:28:21Z | 2023-09-18T16:22:24Z | https://github.com/langchain-ai/langchain/issues/2002 | 1,640,778,468 | 2,002 |
[
"hwchase17",
"langchain"
] | Hi! Thanks for creating langchain! I wanted to give its "agents" feature a try and quickly found an example of its shortcomings:
```
> Entering new AgentExecutor chain...
I need to find out who the author of Moore's law is and if they are alive.
Action: Search
Action Input: "author of Moore's law"
Observation:... | Agent misbehaving: "is the author of Moore's law alive?" | https://api.github.com/repos/langchain-ai/langchain/issues/1994/comments | 2 | 2023-03-25T18:46:50Z | 2023-09-18T16:22:29Z | https://github.com/langchain-ai/langchain/issues/1994 | 1,640,621,419 | 1,994 |
[
"hwchase17",
"langchain"
] | Am refereing to this documentaion [here](https://langchain.readthedocs.io/en/latest/modules/chat/examples/chat_vector_db.html) created a file
test.py
```
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import Chroma
from langchain.text_splitter import CharacterTextSplitter
f... | pydantic.error_wrappers.ValidationError: 1 validation error | https://api.github.com/repos/langchain-ai/langchain/issues/1986/comments | 4 | 2023-03-25T08:38:05Z | 2023-10-31T08:02:38Z | https://github.com/langchain-ai/langchain/issues/1986 | 1,640,432,940 | 1,986 |
[
"hwchase17",
"langchain"
] | Pls. add support for Kagi Summarizer
https://blog.kagi.com/universal-summarizer#api | Add support for Kagi Summarizer API in Chains | https://api.github.com/repos/langchain-ai/langchain/issues/1983/comments | 1 | 2023-03-25T05:01:52Z | 2023-08-21T16:07:54Z | https://github.com/langchain-ai/langchain/issues/1983 | 1,640,380,648 | 1,983 |
[
"hwchase17",
"langchain"
] | ### Summary
The QueryCheckerTool function currently creates an LLMChain object internally but does not provide a way to specify the `openai_api_key` manually via supplied arguments. This can cause issues for users who do not want to place their API key in environment variables.
### Steps to Reproduce
Run this code... | QueryCheckerTool creates LLMChain object, does not allow manual specification of openai_api_key | https://api.github.com/repos/langchain-ai/langchain/issues/1982/comments | 2 | 2023-03-25T03:45:48Z | 2023-03-26T04:37:50Z | https://github.com/langchain-ai/langchain/issues/1982 | 1,640,354,701 | 1,982 |
[
"hwchase17",
"langchain"
] | Here's what i'm using atm...
data:
```
{
"num_tweets": 199,
"total_impressions": 154586,
"total_engagements": 0,
"total_retweets": 4621,
"total_likes": 4249,
"average_impressions": 776.8140703517588,
"average_engagements": 0.0,
"average_retweets": 23.22110552763819,
"av... | How to run gpt-3.5-turbo against my own data while using map_reduce? | https://api.github.com/repos/langchain-ai/langchain/issues/1980/comments | 4 | 2023-03-25T00:34:20Z | 2023-08-21T20:15:50Z | https://github.com/langchain-ai/langchain/issues/1980 | 1,640,254,185 | 1,980 |
[
"hwchase17",
"langchain"
] | I am trying to use a Custom Prompt Template as an example_prompt to the FewShotPromptTemplate. Although, I am getting a 'key error' template issue. Does FewShotPromptTemplate support using Custom Prompt Template ?
A snippet example for reference
```
from langchain import PromptTemplate, FewShotPromptTemplate
... | Using Custom Prompt with FewShotPromptTemplate | https://api.github.com/repos/langchain-ai/langchain/issues/1977/comments | 5 | 2023-03-24T21:57:37Z | 2024-02-14T16:14:33Z | https://github.com/langchain-ai/langchain/issues/1977 | 1,640,095,874 | 1,977 |
[
"hwchase17",
"langchain"
] | * Allow users to choose the type in the schema (string | List[string])
* Allow users to get multiple json objects (get JSON array) in the response. I achieved it by replacing the {{ }} -> [[ ]] as follows: `prompt.replace("""{{
"ID": string // IDs which refers to the sentences.
"Text": string // Sentences that c... | StructuredOutputParser - Allow users to get multiple items from response. | https://api.github.com/repos/langchain-ai/langchain/issues/1976/comments | 5 | 2023-03-24T20:27:06Z | 2023-12-27T12:00:23Z | https://github.com/langchain-ai/langchain/issues/1976 | 1,639,991,330 | 1,976 |
[
"hwchase17",
"langchain"
] | I think the sqlalchemy dependency in pyproject.toml still needs to be bumped.
_Originally posted by @sliedes in https://github.com/hwchase17/langchain/issues/1272#issuecomment-1473683519_
| sqlalchemy dependency in pyproject.toml still needs to be bumped to * | https://api.github.com/repos/langchain-ai/langchain/issues/1975/comments | 5 | 2023-03-24T19:52:44Z | 2023-09-27T16:12:00Z | https://github.com/langchain-ai/langchain/issues/1975 | 1,639,955,235 | 1,975 |
[
"hwchase17",
"langchain"
] | The history part for summay of past conversation is always in English. How to change it please? | How to set the 'history' of ConversationSummaryBufferMemory in other language | https://api.github.com/repos/langchain-ai/langchain/issues/1973/comments | 2 | 2023-03-24T17:24:27Z | 2023-09-18T16:22:34Z | https://github.com/langchain-ai/langchain/issues/1973 | 1,639,777,702 | 1,973 |
[
"hwchase17",
"langchain"
] | A couple problems:
- `ChatOpenAI.get_num_tokens_from_messages()` takes a `model` parameter that is not included in the [base class method signature](https://github.com/hwchase17/langchain/blob/master/langchain/schema.py#L208). Instead, it should use `self.model_name`, similar to how the `BaseOpenAI.get_num_tokens()`... | ChatOpenAI.get_num_tokens_from_messages: use self.model_name and support GPT-4 | https://api.github.com/repos/langchain-ai/langchain/issues/1972/comments | 4 | 2023-03-24T16:47:58Z | 2023-09-18T16:22:40Z | https://github.com/langchain-ai/langchain/issues/1972 | 1,639,724,669 | 1,972 |
[
"hwchase17",
"langchain"
] | I try to set the "system" role maessage when using ConversationChain with ConversationSummaryBufferMemory(CSBM), but it is failed. When I change the ConversationSummaryBufferMemory to the ConversationBufferMemory, it become worked. But I'd like to use the auto summarize utilities when exceeding the maxLength by CSBM.
... | how to use SystemMessagePromptTemplate with ConversationSummaryBufferMemory please? | https://api.github.com/repos/langchain-ai/langchain/issues/1971/comments | 4 | 2023-03-24T16:39:01Z | 2023-09-28T16:10:42Z | https://github.com/langchain-ai/langchain/issues/1971 | 1,639,712,764 | 1,971 |
[
"hwchase17",
"langchain"
] | I am reaching out to inquire about the possibility of implementing a `caching system` for popular prompts as vectors. As you may know, constantly re-embedding questions can be `costly` and `time-consuming`, especially for larger datasets.
Therefore, I was wondering if there are any plans to create a sub package that... | Proposal to Implement Caching of Popular Prompts as Vectors | https://api.github.com/repos/langchain-ai/langchain/issues/1968/comments | 7 | 2023-03-24T14:22:18Z | 2023-09-18T16:22:44Z | https://github.com/langchain-ai/langchain/issues/1968 | 1,639,490,018 | 1,968 |
[
"hwchase17",
"langchain"
] | I am reaching out to inquire about the possibility of implementing a `caching system` for popular prompts as vectors. As you may know, constantly re-embedding questions can be `costly` and `time-consuming`, especially for larger datasets.
Therefore, I was wondering if there are any plans to create a sub package that... | Proposal to Implement Caching of Popular Prompts as Vectors | https://api.github.com/repos/langchain-ai/langchain/issues/1967/comments | 3 | 2023-03-24T14:21:57Z | 2023-10-23T02:26:40Z | https://github.com/langchain-ai/langchain/issues/1967 | 1,639,489,619 | 1,967 |
[
"hwchase17",
"langchain"
] | I am reaching out to inquire about the possibility of implementing a `caching system` for popular prompts as vectors. As you may know, constantly re-embedding questions can be `costly` and `time-consuming`, especially for larger datasets.
Therefore, I was wondering if there are any plans to create a sub package that... | Proposal to Implement Caching of Popular Prompts as Vectors | https://api.github.com/repos/langchain-ai/langchain/issues/1966/comments | 1 | 2023-03-24T14:21:38Z | 2023-08-21T16:07:59Z | https://github.com/langchain-ai/langchain/issues/1966 | 1,639,489,505 | 1,966 |
[
"hwchase17",
"langchain"
] | Say I query my vector database with a minimum distance threshold and no documents ("sources") are returned, how can I stop ChatVectorDBChain from answering the question without using prompts?
I observe that even though it finds no sources, it will answer based on chat history or overwrite the prompt instructions. I... | Is there a non-prompt way to stop ChatVectorDBChain from answering when no vectors are found? | https://api.github.com/repos/langchain-ai/langchain/issues/1963/comments | 3 | 2023-03-24T10:23:54Z | 2023-09-25T16:15:24Z | https://github.com/langchain-ai/langchain/issues/1963 | 1,639,119,073 | 1,963 |
[
"hwchase17",
"langchain"
] | I am trying to load load video and came across below issue.
I am using langchain version 0.0.121
| AttributeError: type object 'YoutubeLoader' has no attribute 'from_youtube_url' | https://api.github.com/repos/langchain-ai/langchain/issues/1962/comments | 5 | 2023-03-24T10:08:17Z | 2023-04-12T04:13:00Z | https://github.com/langchain-ai/langchain/issues/1962 | 1,639,095,508 | 1,962 |
[
"hwchase17",
"langchain"
] | The score is useful for a lot of things. It'd be great if VectorStore exported the abstract methods so a VectorStore dependency can be injected.
| `*_with_score` methods should be part of VectorStore | https://api.github.com/repos/langchain-ai/langchain/issues/1959/comments | 1 | 2023-03-24T08:17:09Z | 2023-09-10T16:40:38Z | https://github.com/langchain-ai/langchain/issues/1959 | 1,638,930,794 | 1,959 |
[
"hwchase17",
"langchain"
] | null | How to work with multiple csv files in the same agent session ? is there any option to call agent with multiple csv files, so that the model can interact multiple files and answer us. | https://api.github.com/repos/langchain-ai/langchain/issues/1958/comments | 12 | 2023-03-24T07:46:39Z | 2023-05-25T21:23:12Z | https://github.com/langchain-ai/langchain/issues/1958 | 1,638,890,881 | 1,958 |
[
"hwchase17",
"langchain"
] | ## Summary
I'm seeing this `ImportError`ย on my Mac M1 when trying to use Chroma
```
(mach-o file, but is an incompatible architecture (have (x86_64), need (arm64e)))
```
Any ideas?
## Traceback
```
Traceback (most recent call last):
File "/Users/homanp/Library/Caches/com.vercel.fun/runtimes/python3/.... | `ImportError` ChromaDB | https://api.github.com/repos/langchain-ai/langchain/issues/1957/comments | 16 | 2023-03-24T07:42:33Z | 2023-11-10T16:10:52Z | https://github.com/langchain-ai/langchain/issues/1957 | 1,638,886,467 | 1,957 |
[
"hwchase17",
"langchain"
] | I worked on this version:
git rev-parse HEAD: 9555bbd5bb3397e66d279d802576b4c65123b484
I plan to add a ParaChain class in the Chains module. At present, it seems that only serial calls are supported, but in some scenarios, we need it work in parallel, and support the combination of parallel chains and serial chains... | Bug:: SequentialChain root_validator::validate_chain. judgment logic of overlapping_keys | https://api.github.com/repos/langchain-ai/langchain/issues/1953/comments | 2 | 2023-03-24T04:52:12Z | 2023-09-10T16:40:43Z | https://github.com/langchain-ai/langchain/issues/1953 | 1,638,714,871 | 1,953 |
[
"hwchase17",
"langchain"
] | Summary: the Chroma vectorstore search does not return top-scored embeds.
The issue appears only when the number of documents in the vector store exceeds a certain threshold (I have ~4000 chunks).
I could not determine when it breaks exactly.
I loaded my documents, chunked them, and then indexed into a vectorsto... | Chroma vectorstore search does not return top-scored embeds | https://api.github.com/repos/langchain-ai/langchain/issues/1946/comments | 17 | 2023-03-24T00:47:14Z | 2024-07-12T14:58:40Z | https://github.com/langchain-ai/langchain/issues/1946 | 1,638,542,872 | 1,946 |
[
"hwchase17",
"langchain"
] | Currently, there is no way to pass in headers to UnstructuredURLLoader, e.g. for `"User-Agent"`. There should be.
Upstream issue: https://github.com/Unstructured-IO/unstructured/issues/396 | Ability to pass in headers to UnstructuredURLLoader | https://api.github.com/repos/langchain-ai/langchain/issues/1944/comments | 0 | 2023-03-23T23:08:43Z | 2023-03-29T04:32:13Z | https://github.com/langchain-ai/langchain/issues/1944 | 1,638,464,544 | 1,944 |
[
"hwchase17",
"langchain"
] | Problem since update 0.0.120, when using a AzureChatOpenAI model instance of gpt-35-turbo you get a "Resource not found error" tried with both load_qa_with_sources_chain and MapReduceChain.from_params
Here is a sample error trace from right after I call the chain() instance:
```
File "/anaconda/envs/exp_env/lib... | Resource not found error when using AzureChatOpenAI gpt-35-turbo | https://api.github.com/repos/langchain-ai/langchain/issues/1942/comments | 1 | 2023-03-23T22:17:32Z | 2023-03-23T22:34:53Z | https://github.com/langchain-ai/langchain/issues/1942 | 1,638,418,561 | 1,942 |
[
"hwchase17",
"langchain"
] | When presented with intalling chatgpt-wrapper, I have the issue "C:\Users\BigB\Documents\Yeet>pip install git+https://github.com/mmabrouk/chatgpt-wrapper
Collecting git+https://github.com/mmabrouk/chatgpt-wrapper
Cloning https://github.com/mmabrouk/chatgpt-wrapper to c:\users\refddfea~1\appdata\local\temp\pip-req-b... | Issue when trying to install chatgpt-wrapper with this module. | https://api.github.com/repos/langchain-ai/langchain/issues/1941/comments | 2 | 2023-03-23T21:08:08Z | 2023-09-18T16:22:50Z | https://github.com/langchain-ai/langchain/issues/1941 | 1,638,329,189 | 1,941 |
[
"hwchase17",
"langchain"
] | I'm wondering how does [ChatGPT plugin](https://platform.openai.com/docs/plugins/) work under-the-hood? Are they using the same techique as Langchain agent? Basically sending prompt and manually parse out the result -> and feed result back to another plugin in subsequential steps if necessary.
Or is it using a supe... | ChatGPT Plugins vs. LangChain agent | https://api.github.com/repos/langchain-ai/langchain/issues/1940/comments | 17 | 2023-03-23T20:57:52Z | 2023-09-29T16:09:47Z | https://github.com/langchain-ai/langchain/issues/1940 | 1,638,313,085 | 1,940 |
[
"hwchase17",
"langchain"
] | As reported by Kranos in Discord, there is no a way to robustly iterate through a list of URL's with UnstructuredURLLoader. The workaround for now is to create a UnstructuredURLLoader object per url and do the following:
```
Yep, exactly my problem - I had a load of URLs loaded into a pandas dataframe I was iterati... | UnstructuredURLLoader does not gracefully handle failures given a list of URL's | https://api.github.com/repos/langchain-ai/langchain/issues/1939/comments | 0 | 2023-03-23T20:15:27Z | 2023-03-28T05:26:22Z | https://github.com/langchain-ai/langchain/issues/1939 | 1,638,238,132 | 1,939 |
[
"hwchase17",
"langchain"
] | When feeding the map_reduce summarization chain with a single document, the doc is run through an unnecessary map step before running a combine prompt on it.
The combine prompt would imo be sufficient to avoid summarizing a single summary which then is very lossy. Great project, hope this thrives! | Improvement: MapReduce summarization chains executes a map step on a single document | https://api.github.com/repos/langchain-ai/langchain/issues/1937/comments | 7 | 2023-03-23T18:46:21Z | 2023-09-18T16:28:44Z | https://github.com/langchain-ai/langchain/issues/1937 | 1,638,109,379 | 1,937 |
[
"hwchase17",
"langchain"
] | UJsing py 3.11 (works in py 3.10) with latest (0.4.36) version.
Traceback:
```
File "C:\Users\diman\mambaforge\envs\py311\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
exec(code, module.__dict__)
File "D:\dev\openai-pr-summarization\main.py", line 9, in <module>... | cannot import name 'BaseOutputParser' from 'langchain.schema' | https://api.github.com/repos/langchain-ai/langchain/issues/1936/comments | 8 | 2023-03-23T17:59:56Z | 2023-09-28T16:10:53Z | https://github.com/langchain-ai/langchain/issues/1936 | 1,638,029,215 | 1,936 |
[
"hwchase17",
"langchain"
] | I tried creating a pandas dataframe agent (using create_dataframe_agent) with ChatOpenAI from promptlayer or otherwise just plain version (ChatOpenAI) as the LLM! But langchain isn't able to parse the LLM's output code. If I modify some regular expression manually, it works (but again fails if the code is a single line... | ChatOpenAI isn't compatible with create_pandas_dataframe_agent | https://api.github.com/repos/langchain-ai/langchain/issues/1931/comments | 10 | 2023-03-23T15:52:32Z | 2023-07-06T19:34:35Z | https://github.com/langchain-ai/langchain/issues/1931 | 1,637,808,698 | 1,931 |
[
"hwchase17",
"langchain"
] | After sending several requests to OpenAI, it always encounter request timeouts, accompanied by long periods of waiting.
Env:
OS: Ubuntu 22
Python: 3.10
langchain: 0.0.117
## Request time out
```shell
WARNING:/home/soda/.local/lib/python3.10/site-packages/langchain/chat_models/openai.py:Retrying langchai... | Frequent Request timed out | https://api.github.com/repos/langchain-ai/langchain/issues/1929/comments | 5 | 2023-03-23T14:44:31Z | 2023-06-07T03:02:27Z | https://github.com/langchain-ai/langchain/issues/1929 | 1,637,686,943 | 1,929 |
[
"hwchase17",
"langchain"
] | Right now to create an agent that has memory, we do
`memory = ConversationBufferMemory(memory_key=str('chat_history'))`
Then pass it to the agent
`agent_executor = AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True, memory=memory)`
However, the memory will be gone if the server restarts. I ... | Support Save and Retrieve Memory from Redis | https://api.github.com/repos/langchain-ai/langchain/issues/1927/comments | 2 | 2023-03-23T13:47:03Z | 2023-04-07T19:55:27Z | https://github.com/langchain-ai/langchain/issues/1927 | 1,637,579,089 | 1,927 |
[
"hwchase17",
"langchain"
] | HI,
I am getting an error "InvalidRequestError: Resource not found" while using Chat model using VectorDBQA chain.
This issue is coming up after v0.0.120 release and I was not getting this in the previous version which I used which was v0.0.118.
I am using Chatmodel from Azure through AzureChatOpenAI and embeddings... | Getting an error InvalidRequestError: Resource not found in VectorDBQA | https://api.github.com/repos/langchain-ai/langchain/issues/1923/comments | 10 | 2023-03-23T11:37:04Z | 2023-11-03T07:22:09Z | https://github.com/langchain-ai/langchain/issues/1923 | 1,637,360,666 | 1,923 |
[
"hwchase17",
"langchain"
] | Have we considered using Ruff in this repo instead of flake8? Ruff is a lot faster and used by many popular Python repos.
https://github.com/charliermarsh/ruff | Ruff instead of flake8? | https://api.github.com/repos/langchain-ai/langchain/issues/1919/comments | 2 | 2023-03-23T06:36:12Z | 2023-03-23T06:51:45Z | https://github.com/langchain-ai/langchain/issues/1919 | 1,636,937,677 | 1,919 |
[
"hwchase17",
"langchain"
] | Add optional parameters (like a `siterestrict`) to GoogleSearchAPIWrapper.
https://developers.google.com/custom-search/v1/site_restricted_api
| Support for Google's Custom Search Site Restricted JSON API | https://api.github.com/repos/langchain-ai/langchain/issues/1915/comments | 0 | 2023-03-23T04:53:09Z | 2023-03-28T04:24:27Z | https://github.com/langchain-ai/langchain/issues/1915 | 1,636,847,361 | 1,915 |
[
"hwchase17",
"langchain"
] | How to add a json example into the prompt template. Currently, it errors.
Here is one example prompt
human_template = """Summarize user's order into the json format keys:"name","size", "topping", "ice", "sugar", "special_instruction".
Here are two examples of the order JSON object:
... | how to escape {} for the PromptTemplate | https://api.github.com/repos/langchain-ai/langchain/issues/1914/comments | 9 | 2023-03-23T04:16:24Z | 2024-05-10T06:08:49Z | https://github.com/langchain-ai/langchain/issues/1914 | 1,636,824,214 | 1,914 |
[
"hwchase17",
"langchain"
] | I just upgraded to the most recent version of langchain (0.0.119) and I get the following error when I try to import langchain in python.
Here's the error message:
>
--> 111 class SelfHostedHuggingFaceLLM(SelfHostedPipeline, BaseModel):
112 Wrapper around HuggingFace Pipeline API to run on self-hoste... | import langchain (0.0.119) does not work | https://api.github.com/repos/langchain-ai/langchain/issues/1913/comments | 4 | 2023-03-23T03:40:53Z | 2023-09-25T16:15:39Z | https://github.com/langchain-ai/langchain/issues/1913 | 1,636,797,392 | 1,913 |
[
"hwchase17",
"langchain"
] | Code to create a ConstitutionalChain from an LLM:
```
@classmethod
def from_llm(
cls,
llm: BaseLanguageModel,
chain: LLMChain,
critique_prompt: BasePromptTemplate = CRITIQUE_PROMPT,
revision_prompt: BasePromptTemplate = REVISION_PROMPT,
**kwargs: Any,
... | ConstitutionalChain cannot be composed with SimpleSequentialChain | https://api.github.com/repos/langchain-ai/langchain/issues/1904/comments | 4 | 2023-03-23T00:35:35Z | 2024-01-10T19:17:00Z | https://github.com/langchain-ai/langchain/issues/1904 | 1,636,674,948 | 1,904 |
[
"hwchase17",
"langchain"
] | When we use `OpenSearchVectorSearch` to index documents into Opensearch, there is no way to decide the index name.
There is `index_name` argument in `OpenSearchVectorSearch` however this is ignored when we call `OpenSearchVectorSearch.from_documents()` method. In the method index name is set randomly with uuid [see ... | OpenSearch index_name is not deterministic | https://api.github.com/repos/langchain-ai/langchain/issues/1900/comments | 1 | 2023-03-22T22:59:59Z | 2023-03-23T10:10:01Z | https://github.com/langchain-ai/langchain/issues/1900 | 1,636,610,281 | 1,900 |
[
"hwchase17",
"langchain"
] | It seems this can already calculate costs, can it throw errors/warnings if usage exceeds a certain pre-configured amount? That way people won't accidentally spend $500 if they miscalculate, etc. | Add a way to configure soft/hard caps on $ spent on APIs | https://api.github.com/repos/langchain-ai/langchain/issues/1899/comments | 2 | 2023-03-22T22:13:30Z | 2023-09-10T16:40:53Z | https://github.com/langchain-ai/langchain/issues/1899 | 1,636,565,917 | 1,899 |
[
"hwchase17",
"langchain"
] | I'm on Windows 10 and one of the examples from the Documentation [Load a prompt template from LangChainHub](https://langchain.readthedocs.io/en/latest/modules/prompts/getting_started.html#:~:text=such%20as%20Mako.-,Load%20a%20prompt%20template%20from%20LangChainHub,-%23) has the following code:
```python
from langcha... | Error try_load_from_hub could not find file | https://api.github.com/repos/langchain-ai/langchain/issues/1897/comments | 4 | 2023-03-22T20:51:53Z | 2023-08-14T16:58:59Z | https://github.com/langchain-ai/langchain/issues/1897 | 1,636,480,289 | 1,897 |
[
"hwchase17",
"langchain"
] | ImportError: cannot import name 'BaseOutputParser' from 'langchain.output_parsers' | Import Error | https://api.github.com/repos/langchain-ai/langchain/issues/1896/comments | 1 | 2023-03-22T18:58:13Z | 2023-03-23T14:24:41Z | https://github.com/langchain-ai/langchain/issues/1896 | 1,636,338,302 | 1,896 |
[
"hwchase17",
"langchain"
] | With a Postgres database, I've found I need to add the schema to [line 69](https://github.com/hwchase17/langchain/blob/ce5d97bcb3e263f6aa69da6c334e35e20bf4db11/langchain/sql_database.py#L69):
`self._metadata.reflect(bind=self._engine, schema=self._schema)` | SQLDatabase does not handle schema correctly | https://api.github.com/repos/langchain-ai/langchain/issues/1894/comments | 1 | 2023-03-22T17:34:41Z | 2023-08-21T16:08:15Z | https://github.com/langchain-ai/langchain/issues/1894 | 1,636,218,153 | 1,894 |
[
"hwchase17",
"langchain"
] | This is the message
| pip install -U langchain is the best thing that you can do before you start your day | https://api.github.com/repos/langchain-ai/langchain/issues/1892/comments | 7 | 2023-03-22T16:30:44Z | 2024-03-17T09:26:09Z | https://github.com/langchain-ai/langchain/issues/1892 | 1,636,122,407 | 1,892 |
[
"hwchase17",
"langchain"
] | null | Support for Google BARD API? | https://api.github.com/repos/langchain-ai/langchain/issues/1889/comments | 17 | 2023-03-22T15:46:42Z | 2024-08-09T09:57:05Z | https://github.com/langchain-ai/langchain/issues/1889 | 1,636,046,362 | 1,889 |
[
"hwchase17",
"langchain"
] | It looks like Llama uses an unsupported embedding scheme:
https://nn.labml.ai/transformers/rope/index.html
I'm opening this thread so we can have a conversation about how to support these embeddings within langchain. I'm happy to help, but my knowledge is limited. | Support for Rotary Embeddings for Llama | https://api.github.com/repos/langchain-ai/langchain/issues/1885/comments | 3 | 2023-03-22T15:04:00Z | 2023-09-18T16:22:55Z | https://github.com/langchain-ai/langchain/issues/1885 | 1,635,952,857 | 1,885 |
[
"hwchase17",
"langchain"
] | ### Describe the bug
in `WandbCallbackHandler.on_chain_start` (row 533 in wandb_callback.py), the name of the input key is hardcoded set to "input" and the name of the output key is hard-coded "output", so if the chain uses any other name for the input key, this results in `KyeError`.
<!--- A minimal code snippet... | Bug in WandbCallbackHandler | https://api.github.com/repos/langchain-ai/langchain/issues/1884/comments | 3 | 2023-03-22T13:15:40Z | 2023-09-10T16:40:58Z | https://github.com/langchain-ai/langchain/issues/1884 | 1,635,746,539 | 1,884 |
[
"hwchase17",
"langchain"
] | Hi,
I am a bit confused as to what is the best approach to implement the "chatting with a document store". There seem to be two approaches to do this:
- ChatVectorDBChain -- https://github.com/mayooear/gpt4-pdf-chatbot-langchain
- agent + ConversationBufferMemory -- https://github.com/jerryjliu/llama_index/blob/... | ChatVectorDBChain vs. agent + ConversationBufferMemory for chat | https://api.github.com/repos/langchain-ai/langchain/issues/1883/comments | 5 | 2023-03-22T12:41:20Z | 2023-10-29T16:07:28Z | https://github.com/langchain-ai/langchain/issues/1883 | 1,635,694,115 | 1,883 |
[
"hwchase17",
"langchain"
] | ```
Traceback (most recent call last):
File "/Users/xingfanxia/projects/notion-qa/qa.py", line 25, in <module>
result = chain({"question": args.question})
File "/opt/homebrew/lib/python3.10/site-packages/langchain/chains/base.py", line 116, in __call__
raise e
File "/opt/homebrew/lib/python3.10/site... | Tiktoken version is too old for `gpt-3.5-turbo` | https://api.github.com/repos/langchain-ai/langchain/issues/1881/comments | 11 | 2023-03-22T09:23:39Z | 2023-10-18T05:27:58Z | https://github.com/langchain-ai/langchain/issues/1881 | 1,635,371,810 | 1,881 |
[
"hwchase17",
"langchain"
] | As of the latest release, this is not accepted.
```
/opt/homebrew/lib/python3.10/site-packages/langchain/llms/openai.py:169: UserWarning: You are trying to use a chat model. This way of initializing it is no longer supported. Instead, please use: `from langchain.chat_models import ChatOpenAI`
warnings.warn(
```
... | Is it possible to use `gpt-3.5-turbo` for `VectorDBQAWithSourcesChain` | https://api.github.com/repos/langchain-ai/langchain/issues/1880/comments | 4 | 2023-03-22T09:01:34Z | 2023-03-24T04:55:20Z | https://github.com/langchain-ai/langchain/issues/1880 | 1,635,332,994 | 1,880 |
[
"hwchase17",
"langchain"
] | Love Langchain library, so obsessed with it lately!
I've using ChatVectorDBChain which retrieves answers from Pinecone vectorstore and it's been working very well.
But one thing I noticed is that for normal `ConversationChain`, you can add `memory` argument, which provides nice user experience because it remember... | Entity memory + ChatVectorDB ? | https://api.github.com/repos/langchain-ai/langchain/issues/1876/comments | 6 | 2023-03-22T06:25:42Z | 2023-09-20T18:16:25Z | https://github.com/langchain-ai/langchain/issues/1876 | 1,635,138,622 | 1,876 |
[
"hwchase17",
"langchain"
] | We should add human input as a tool. Human is AGI and can step in when the model is confused or lost, or need some help. | Use human input as a tool | https://api.github.com/repos/langchain-ai/langchain/issues/1871/comments | 7 | 2023-03-22T00:23:26Z | 2024-07-26T22:26:55Z | https://github.com/langchain-ai/langchain/issues/1871 | 1,634,874,206 | 1,871 |
[
"hwchase17",
"langchain"
] | If I have a context (document) to answer questions from, is there a way to send multiple messages to openai using langchain API? I would like to get a list back where each item corresponds to answer for each question.
Thanks,
Ravi | Sending multiple questions in one API call and get responses for each | https://api.github.com/repos/langchain-ai/langchain/issues/1870/comments | 2 | 2023-03-22T00:08:09Z | 2023-09-18T16:22:59Z | https://github.com/langchain-ai/langchain/issues/1870 | 1,634,864,043 | 1,870 |
[
"hwchase17",
"langchain"
] | Are you considering to add ability to use ensembling during document search? | Use ensemble of indicies on document search | https://api.github.com/repos/langchain-ai/langchain/issues/1868/comments | 1 | 2023-03-21T22:25:49Z | 2023-08-21T16:08:19Z | https://github.com/langchain-ai/langchain/issues/1868 | 1,634,779,399 | 1,868 |
[
"hwchase17",
"langchain"
] | The current constructor for ElasticVectorSearch does not support connecting to Elastic Cloud.
```
>>> db = ElasticVectorSearch.from_documents(docs, embeddings,
... cloud_id = CLOUD_ID,
... basic_auth=(USER_NAME, PASSWORD))Traceback (m... | ElasticVectorSearch constructor to support Elastic Cloud | https://api.github.com/repos/langchain-ai/langchain/issues/1865/comments | 6 | 2023-03-21T20:56:51Z | 2023-09-19T15:17:29Z | https://github.com/langchain-ai/langchain/issues/1865 | 1,634,676,623 | 1,865 |
[
"hwchase17",
"langchain"
] | How can we load directly xlsx file in langchain just like CSV loader? I could not be able to find in the documentation | Xlsx loader | https://api.github.com/repos/langchain-ai/langchain/issues/1862/comments | 7 | 2023-03-21T17:25:01Z | 2023-12-02T16:10:07Z | https://github.com/langchain-ai/langchain/issues/1862 | 1,634,398,916 | 1,862 |
[
"hwchase17",
"langchain"
] | Hey all, Gor from [Aim](http://github.com/aimhubio/aim) here ๐
First of all thanks for this awesome project!
After playing with LangChain, I found that Aim // LangChain integration can be extremely helpful with tracing and deep exploration of prompts... at scale... with just a few steps. โฌ๏ธ
## How can Aim t... | Prompts tracing and visualization with Aim (Aim // LangChain integration) | https://api.github.com/repos/langchain-ai/langchain/issues/1861/comments | 1 | 2023-03-21T17:11:07Z | 2023-09-18T16:23:05Z | https://github.com/langchain-ai/langchain/issues/1861 | 1,634,374,448 | 1,861 |
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