issue_owner_repo listlengths 2 2 | issue_body stringlengths 0 261k ⌀ | 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 |
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[
"hwchase17",
"langchain"
] | It would be great to see a new LangChain tool for blockchain search engines (or blockchain API providers). There are several blockchain search engine APIs available, including those provided by [Blockchain.com](https://www.blockchain.com/api), [Blockchair](https://blockchair.com/), [Bitquery](https://bitquery.io/), and... | [Tool Request] Blockchain Search Engine | https://api.github.com/repos/langchain-ai/langchain/issues/1294/comments | 1 | 2023-02-25T18:46:09Z | 2023-09-10T16:43:41Z | https://github.com/langchain-ai/langchain/issues/1294 | 1,599,796,432 | 1,294 |
[
"hwchase17",
"langchain"
] | I was trying the `SQLDatabaseChain`:
```
db = SQLDatabase.from_uri("sqlite:///../app.db", include_tables=["events"])
llm = OpenAI(temperature=0)
db_chain = SQLDatabaseChain(llm=llm, database=db, verbose=True)
result = db_chain("How many events are there?")
result
```
but was seeing flakey behavior in validi... | Graceful failures with SQL syntax error | https://api.github.com/repos/langchain-ai/langchain/issues/1292/comments | 1 | 2023-02-25T17:35:58Z | 2023-08-24T16:16:43Z | https://github.com/langchain-ai/langchain/issues/1292 | 1,599,777,331 | 1,292 |
[
"hwchase17",
"langchain"
] | Im having this bug when trying to setup a model within a lambda cloud running SelfHostedHuggingFaceLLM() after the rh.cluster() function.
`
from langchain.llms import SelfHostedPipeline, SelfHostedHuggingFaceLLM
from langchain import PromptTemplate, LLMChain
import runhouse as rh
gpu = rh.cluster(name="rh-a10",... | RuntimeError when setting up self hosted model + runhouse integration | https://api.github.com/repos/langchain-ai/langchain/issues/1290/comments | 2 | 2023-02-25T03:38:32Z | 2023-09-10T16:43:47Z | https://github.com/langchain-ai/langchain/issues/1290 | 1,599,532,047 | 1,290 |
[
"hwchase17",
"langchain"
] | Please provide tutorials for using other LLM models beside OpenAI. Even though documentation implies it is possible to use other LLM models there is no solid example of that. I would like to download a LLM model and use it with langchain. | Please provide tutorials for using other LLM models beside OpenAI. | https://api.github.com/repos/langchain-ai/langchain/issues/1289/comments | 2 | 2023-02-25T01:04:12Z | 2023-09-18T16:24:10Z | https://github.com/langchain-ai/langchain/issues/1289 | 1,599,462,279 | 1,289 |
[
"hwchase17",
"langchain"
] | Hi there, loving the library.
I'm running into an issue when trying to run the chromadb example using Python.
It fine upto the following:
`docs = docsearch.similarity_search(query)`
Receiving the following error:
`File "pydantic/main.py", line 342, in pydantic.main.BaseModel.__init__
pydantic.error_wrap... | ChromaDB validation error for Document metadata. | https://api.github.com/repos/langchain-ai/langchain/issues/1287/comments | 3 | 2023-02-25T00:07:41Z | 2023-09-18T16:24:15Z | https://github.com/langchain-ai/langchain/issues/1287 | 1,599,426,456 | 1,287 |
[
"hwchase17",
"langchain"
] | The `load` method of `UnstructuredURLLoader` returns a list of Documents, with a single Document for each url.
```python
def load(self) -> List[Document]:
"""Load file."""
from unstructured.partition.html import partition_html
docs: List[Document] = list()
for url in self.u... | UnstructuredURLLoader not able to split text | https://api.github.com/repos/langchain-ai/langchain/issues/1283/comments | 1 | 2023-02-24T16:32:09Z | 2023-08-24T16:16:49Z | https://github.com/langchain-ai/langchain/issues/1283 | 1,598,946,490 | 1,283 |
[
"hwchase17",
"langchain"
] | null | OpenSearchVectorSearch.from_texts auto-generating index_name should be optional | https://api.github.com/repos/langchain-ai/langchain/issues/1281/comments | 0 | 2023-02-24T15:54:39Z | 2023-02-24T19:58:13Z | https://github.com/langchain-ai/langchain/issues/1281 | 1,598,887,726 | 1,281 |
[
"hwchase17",
"langchain"
] | Loving Langchain it's awesome!
I have a Hugging Face project which is a clone of this one hwchase17/chat-your-data-state-of-the-union.
This was all working fine on Langchain 0.0.86 but now I'm on 0.0.93 it doesn't, and I'm getting the following error:
File "/home/user/.local/lib/python3.8/site-packages/langcha... | Error with ChatVectorDBChain.from_llm on Hugging Face | https://api.github.com/repos/langchain-ai/langchain/issues/1273/comments | 7 | 2023-02-24T13:30:31Z | 2023-08-11T16:32:01Z | https://github.com/langchain-ai/langchain/issues/1273 | 1,598,636,733 | 1,273 |
[
"hwchase17",
"langchain"
] | Langchain depends on sqlalchemy<2. This prevents usage of the current version of sqlalchemy, even if neither the caching nor sqlchains features of langchain are being used.
Looking at this purely as a user it'd be ideal if langchain would be compatible with both sqlalchemy 1.4.x and 2.x.x. Implementing this might be... | Sqlalchemy 2 cannot be used in projects using langchain. | https://api.github.com/repos/langchain-ai/langchain/issues/1272/comments | 6 | 2023-02-24T11:34:36Z | 2023-03-18T09:43:32Z | https://github.com/langchain-ai/langchain/issues/1272 | 1,598,464,619 | 1,272 |
[
"hwchase17",
"langchain"
] | We manage all our dependencies with a Conda environment file. It would be great if that could cover Langchain too! As Langchain is taking off, there are probably other Conda users in the same shoes.
(Thanks for making Langchain! It's great!) | Put Langchain on Conda-forge | https://api.github.com/repos/langchain-ai/langchain/issues/1271/comments | 16 | 2023-02-24T08:10:32Z | 2023-12-28T20:58:15Z | https://github.com/langchain-ai/langchain/issues/1271 | 1,598,132,401 | 1,271 |
[
"hwchase17",
"langchain"
] | Hey @hwchase17 , the arXiv API is a pretty useful one for retrieving specific arXiv information, including title, authors, topics, and text abstracts. Am thinking of working to include it within langchain, to add to the collection of API wrappers available.
How does that sound? | arXiv API Wrapper | https://api.github.com/repos/langchain-ai/langchain/issues/1269/comments | 3 | 2023-02-24T03:54:36Z | 2023-09-10T16:44:02Z | https://github.com/langchain-ai/langchain/issues/1269 | 1,597,856,162 | 1,269 |
[
"hwchase17",
"langchain"
] | When using the map_reduce chain, it would be nice to be able to provide a second llm for the combine step with separate configuration.
I may want 500 tokens on the map phase, but on the reduce phase (combine) I might want to increase to 2000+ tokens to not receive such a small summary for a lengthy document. | Allow for separate token limits between map and combine | https://api.github.com/repos/langchain-ai/langchain/issues/1268/comments | 1 | 2023-02-24T02:40:06Z | 2023-08-24T16:16:54Z | https://github.com/langchain-ai/langchain/issues/1268 | 1,597,805,672 | 1,268 |
[
"hwchase17",
"langchain"
] | I created a virtual environment and ran the following commands:
pip install 'langchain [all]'
pip install 'unstructured[local-inference]'
However, when running the code below, I still get the following exception:
loader = UnstructuredPDFLoader("<path>")
data = loader.load()
ModuleNotFoundError: No module ... | unstructured_inference module not found even after pip install unstructured[local-inference] | https://api.github.com/repos/langchain-ai/langchain/issues/1267/comments | 4 | 2023-02-24T02:08:20Z | 2024-04-24T17:01:11Z | https://github.com/langchain-ai/langchain/issues/1267 | 1,597,783,521 | 1,267 |
[
"hwchase17",
"langchain"
] | Currently, the TextSplitter interface only allows for splitting text into fixed-size chunks and returning the entire list before any queries are run. It would be great if we could split text input dynamically to provide each query step with as large context window as possible, this would make tasks like summarization m... | Implement a streaming text splitter | https://api.github.com/repos/langchain-ai/langchain/issues/1264/comments | 5 | 2023-02-23T23:17:40Z | 2023-09-18T16:24:21Z | https://github.com/langchain-ai/langchain/issues/1264 | 1,597,657,276 | 1,264 |
[
"hwchase17",
"langchain"
] | ## Problem
The default embeddings (e.g. Ada-002 from OpenAI, etc) are great **_generalists_**. However, they are not **_tailored_** for **your** specific use-case.
## Proposed Solution
**_🎉 Customizing Embeddings!_**
> ℹ️ See [my tutorial / lessons learned](https://twitter.com/GlavinW/status/1627657346225... | Utility helpers to train and use Custom Embeddings | https://api.github.com/repos/langchain-ai/langchain/issues/1260/comments | 4 | 2023-02-23T22:04:38Z | 2023-09-27T16:14:06Z | https://github.com/langchain-ai/langchain/issues/1260 | 1,597,590,916 | 1,260 |
[
"hwchase17",
"langchain"
] | ## Description
Based on my experiments with `SQLDatabaseChain` class, I have noticed that the LLM tends to hallucinate `Answer` if `SQLResult` field results as `[]`. As I primarily used OpenAI as the LLM, I am not sure if this problem exists for other LLMs.
This is surely an undesirable outcome for users if the a... | Fix hallucination problem with `SQLDatabaseChain` | https://api.github.com/repos/langchain-ai/langchain/issues/1254/comments | 17 | 2023-02-23T18:42:41Z | 2023-09-28T16:12:13Z | https://github.com/langchain-ai/langchain/issues/1254 | 1,597,356,290 | 1,254 |
[
"hwchase17",
"langchain"
] | I was looking for a .ipynb loader and realized that there isn't one. I already started to build one where you can specify if to include cell outputs, set a max length for output to include, and decide if to include newline characters. This latter feature is to avoid useless token usage, as openai models can detect spac... | notebooks (.ipynb) loader | https://api.github.com/repos/langchain-ai/langchain/issues/1248/comments | 1 | 2023-02-23T13:57:27Z | 2023-07-13T17:34:57Z | https://github.com/langchain-ai/langchain/issues/1248 | 1,596,920,992 | 1,248 |
[
"hwchase17",
"langchain"
] | Hi. I hope you are doing well.
I am writing to request a new feature in the LangChain library that combines the benefits of both the **Stuffing** and **Map Reduce** methods for working with GPT language models. The proposed approach involves sending parallel requests to GPT, but instead of treating each request as a... | Request for a new approach to combineDocument Chain for efficient GPT processing | https://api.github.com/repos/langchain-ai/langchain/issues/1247/comments | 1 | 2023-02-23T11:20:35Z | 2023-09-10T16:44:13Z | https://github.com/langchain-ai/langchain/issues/1247 | 1,596,673,406 | 1,247 |
[
"hwchase17",
"langchain"
] | I have tried using memory inside load_qa_with_sources_chain but it throws up an error. Works fine with load_qa_chain. No other way to do this other than creating a custom chain? | Is there no chain for question answer with sources and memory? | https://api.github.com/repos/langchain-ai/langchain/issues/1246/comments | 5 | 2023-02-23T09:56:05Z | 2023-03-30T03:08:42Z | https://github.com/langchain-ai/langchain/issues/1246 | 1,596,544,537 | 1,246 |
[
"hwchase17",
"langchain"
] | It simply doesn't work. There are a few parameters need to be added:
openai.api_type = "azure"
openai.ap_base = xxxxx
| Azure OpenAI isn't working | https://api.github.com/repos/langchain-ai/langchain/issues/1243/comments | 1 | 2023-02-23T06:10:46Z | 2023-08-24T16:17:04Z | https://github.com/langchain-ai/langchain/issues/1243 | 1,596,279,033 | 1,243 |
[
"hwchase17",
"langchain"
] | pip install rust-python gave invalid syntax (<string>, line 1)
should the agent not have permission to install the necessary packages?
'''
https://replit.com/@viswatejaG/Python-Agent-LLM
agent.run("run rust code in python function?")
> Entering new AgentExecutor chain...
I need to find a way to execute r... | Action: Python REPL Action Input: pip install rust-python Observation: invalid syntax (<string>, line 1) | https://api.github.com/repos/langchain-ai/langchain/issues/1239/comments | 2 | 2023-02-22T22:46:05Z | 2023-09-10T16:44:17Z | https://github.com/langchain-ai/langchain/issues/1239 | 1,595,953,200 | 1,239 |
[
"hwchase17",
"langchain"
] | Running the following code:
```
store = FAISS.from_texts(
chunks["texts"], embeddings_instance, metadatas=chunks["metadatas"]
)
faiss.write_index(store.index, "index.faiss")
store.index = None
with open("faiss_store.pkl", "wb") as f:
pickle.dump(store, f)
```
Returns the following ... | Cohere embeddings can't be pickled | https://api.github.com/repos/langchain-ai/langchain/issues/1236/comments | 3 | 2023-02-22T18:30:48Z | 2023-09-25T16:18:26Z | https://github.com/langchain-ai/langchain/issues/1236 | 1,595,601,877 | 1,236 |
[
"hwchase17",
"langchain"
] | I am getting the above error frequently while using the SQLDatabaseChain to run some queries against a postgres database. Trying to google for this error has not yielded any promising results. Appreciate any help I can get from this forum. | TypeError: sqlalchemy.cyextension.immutabledict.immutabledict is not a sequence | https://api.github.com/repos/langchain-ai/langchain/issues/1234/comments | 2 | 2023-02-22T16:50:05Z | 2023-09-10T16:44:22Z | https://github.com/langchain-ai/langchain/issues/1234 | 1,595,452,844 | 1,234 |
[
"hwchase17",
"langchain"
] | I have some existing embeddings created from
`doc_embeddings = embeddings.embed_documents(docs)`
how to pass doc embeddings to FAISS vector store
`from langchain.vectorstores import FAISS`
right now FAISS.from_text() only takes an embedding client and not existing embeddings.
| How to pass existing doc embeddings to FAISS ? | https://api.github.com/repos/langchain-ai/langchain/issues/1233/comments | 5 | 2023-02-22T14:37:21Z | 2023-09-11T03:34:47Z | https://github.com/langchain-ai/langchain/issues/1233 | 1,595,221,029 | 1,233 |
[
"hwchase17",
"langchain"
] | There are so many hardcoded keywords in this library.
for example :
```python
tools = load_tools(["serpapi", "llm-math"], llm=llm)
agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
```
I want to add enums for all possible arguments. But I dont have the list of them.
If ... | Why there are no `enums` ? | https://api.github.com/repos/langchain-ai/langchain/issues/1230/comments | 3 | 2023-02-22T12:09:35Z | 2023-09-12T21:30:09Z | https://github.com/langchain-ai/langchain/issues/1230 | 1,594,994,929 | 1,230 |
[
"hwchase17",
"langchain"
] | There are so many hardcoded keywords in this library.
for example :
```python
tools = load_tools(["serpapi", "llm-math"], llm=llm)
agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
```
I want to add enums for all possible arguments. But I dont have the list of them.
If ... | Why there are no `enums` ? | https://api.github.com/repos/langchain-ai/langchain/issues/1229/comments | 0 | 2023-02-22T12:09:25Z | 2023-02-28T09:21:02Z | https://github.com/langchain-ai/langchain/issues/1229 | 1,594,994,630 | 1,229 |
[
"hwchase17",
"langchain"
] | I've used the docker-compose yaml file to set up the langchain Front-end...
Is there any documentation on how to use the langchain front-end? | Langchain Front-end documentation | https://api.github.com/repos/langchain-ai/langchain/issues/1227/comments | 2 | 2023-02-22T08:36:19Z | 2023-09-10T16:44:27Z | https://github.com/langchain-ai/langchain/issues/1227 | 1,594,681,742 | 1,227 |
[
"hwchase17",
"langchain"
] | https://github.com/marqo-ai/marqo | Another search option: marqo | https://api.github.com/repos/langchain-ai/langchain/issues/1220/comments | 1 | 2023-02-21T22:39:15Z | 2023-08-24T16:17:19Z | https://github.com/langchain-ai/langchain/issues/1220 | 1,594,188,203 | 1,220 |
[
"hwchase17",
"langchain"
] | Currently, `GoogleDriveLoader` only allows passing a `folder_id` or a `document_id` which works like a charm.
However, it would be great if we could also pass custom queries to allow for more flexibility (e.g., accessing files shared with me). | Allow adding own query to GoogleDriveLoader | https://api.github.com/repos/langchain-ai/langchain/issues/1215/comments | 4 | 2023-02-21T17:38:32Z | 2023-11-21T16:08:01Z | https://github.com/langchain-ai/langchain/issues/1215 | 1,593,866,336 | 1,215 |
[
"hwchase17",
"langchain"
] | We should implement all abstract methods in VectorStore so that users can use weaviate as the vector store for any use case.
| Implement max_marginal_relevance_search_by_vector method in the weaviate VectorStore | https://api.github.com/repos/langchain-ai/langchain/issues/1214/comments | 0 | 2023-02-21T17:29:08Z | 2023-04-24T18:50:58Z | https://github.com/langchain-ai/langchain/issues/1214 | 1,593,854,452 | 1,214 |
[
"hwchase17",
"langchain"
] | We should implement all abstract methods in VectorStore so that users can use weaviate as the vector store for any use case. | Implement max_marginal_relevance_search method in the weaviate VectorStore | https://api.github.com/repos/langchain-ai/langchain/issues/1213/comments | 1 | 2023-02-21T17:28:17Z | 2023-04-17T07:29:19Z | https://github.com/langchain-ai/langchain/issues/1213 | 1,593,853,377 | 1,213 |
[
"hwchase17",
"langchain"
] | We should implement all abstract methods in VectorStore so that users can use weaviate as the vector store for any use case. | Implement similarity_search_by_vector in the weaviate VectorStore | https://api.github.com/repos/langchain-ai/langchain/issues/1212/comments | 3 | 2023-02-21T17:27:33Z | 2023-04-17T07:30:26Z | https://github.com/langchain-ai/langchain/issues/1212 | 1,593,852,505 | 1,212 |
[
"hwchase17",
"langchain"
] | We should implement all abstract methods in VectorStore so that users can use weaviate as the vector store for any use case. | Implement from_texts class method in weaviate VectorStore | https://api.github.com/repos/langchain-ai/langchain/issues/1211/comments | 1 | 2023-02-21T17:26:21Z | 2023-04-17T07:23:10Z | https://github.com/langchain-ai/langchain/issues/1211 | 1,593,851,016 | 1,211 |
[
"hwchase17",
"langchain"
] | weaviate supports [multithreaded batch import.](https://weaviate.io/developers/weaviate/client-libraries/python#batching) We should expose this option to the user when they initialise the Weaviate vectorstore to help speed up the document import stage. | Allow users to configure batch settings when uploading docs to weaviate | https://api.github.com/repos/langchain-ai/langchain/issues/1210/comments | 1 | 2023-02-21T17:21:17Z | 2023-08-24T16:17:24Z | https://github.com/langchain-ai/langchain/issues/1210 | 1,593,844,868 | 1,210 |
[
"hwchase17",
"langchain"
] | I'm now currentary working on chatbot with the context using Youtube loaders.
Is there a way to load non-English video? For now, languages=['en'] is hard-coded in youtube.py like,
transcript_pieces = YouTubeTranscriptApi.get_transcript(self.video_id, languages=['en'])
Can I create a PR to change this part to allo... | Youtubeloader for specific languages | https://api.github.com/repos/langchain-ai/langchain/issues/1206/comments | 0 | 2023-02-21T10:57:54Z | 2023-02-22T13:04:41Z | https://github.com/langchain-ai/langchain/issues/1206 | 1,593,264,673 | 1,206 |
[
"hwchase17",
"langchain"
] | I am trying Q&A on my own dataset, When i tried 1-10 Questions on model it gives me better result. but when I passed more than 20 question and try to fetch answers, the model exclude some questions from the list and give the answers of only 13 Questions.
Is there any limit for model in Lang chain to give the answers o... | Model is not able to answers multiple questions at a time> | https://api.github.com/repos/langchain-ai/langchain/issues/1205/comments | 1 | 2023-02-21T09:40:20Z | 2023-08-24T16:17:29Z | https://github.com/langchain-ai/langchain/issues/1205 | 1,593,147,317 | 1,205 |
[
"hwchase17",
"langchain"
] | ```from langchain.llms import GooseAI, OpenAI
import os
os.environ['OPENAI_API_KEY'] = 'ooo'
os.environ['GOOSEAI_API_KEY'] = 'ggg'
import openai
print(openai.api_key)
o = OpenAI()
print(openai.api_key)
g = GooseAI()
print(openai.api_key)
o = OpenAI()
print(openai.api_key)
------
ooo
ooo
ggg
ooo
```... | OpenAI and GooseAI each overwrite openai.api_key | https://api.github.com/repos/langchain-ai/langchain/issues/1192/comments | 4 | 2023-02-21T00:50:07Z | 2023-09-10T16:44:33Z | https://github.com/langchain-ai/langchain/issues/1192 | 1,592,616,503 | 1,192 |
[
"hwchase17",
"langchain"
] | Things like `execution_count` and `id` create unnecessary diffs.
`nbdev_install_hooks` from nbdev should help with this.
See here: https://nbdev.fast.ai/tutorials/tutorial.html#install-hooks-for-gi... | Clean jupyter notebook metadata before committing | https://api.github.com/repos/langchain-ai/langchain/issues/1190/comments | 1 | 2023-02-20T21:14:17Z | 2023-08-24T16:17:34Z | https://github.com/langchain-ai/langchain/issues/1190 | 1,592,452,787 | 1,190 |
[
"hwchase17",
"langchain"
] | Until last week [LangChain 0.0.86], there used to be a link associated with "Question Answering Notebook" on this page -- https://langchain.readthedocs.io/en/latest/use_cases/question_answering.html). But it's not there anymore. Can it be fixed?
None of the links here https://github.com/hwchase17/langchain/blob/mast... | Link missing for Question Answering Notebook | https://api.github.com/repos/langchain-ai/langchain/issues/1189/comments | 1 | 2023-02-20T20:10:35Z | 2023-02-21T06:54:28Z | https://github.com/langchain-ai/langchain/issues/1189 | 1,592,390,745 | 1,189 |
[
"hwchase17",
"langchain"
] | #1117 didn't seem to fix it? I still get an error `KeyError: -1`
Code to reproduce:
```py
output = docsearch.max_marginal_relevance_search_by_vector(query_vec, k=10)
```
where `k > len(docsearch)`. Pushing PR with unittest/fix shortly. | max_marginal_relevance_search_by_vector with k > doc size | https://api.github.com/repos/langchain-ai/langchain/issues/1186/comments | 0 | 2023-02-20T19:19:29Z | 2023-02-21T01:51:10Z | https://github.com/langchain-ai/langchain/issues/1186 | 1,592,346,321 | 1,186 |
[
"hwchase17",
"langchain"
] | I am trying to load a document using the `UnstructuredFileLoader` class but the file isn't accessible via the local file system and a filename. Instead the document is accessible through an `fsspec` filesystem on a remote system via an `OpenFile` object ([see the docs](https://filesystem-spec.readthedocs.io/en/latest/a... | UnstructuredFileLoader with unstructured.partition `file` in addition to `filename` | https://api.github.com/repos/langchain-ai/langchain/issues/1182/comments | 1 | 2023-02-20T16:26:52Z | 2023-02-21T06:54:50Z | https://github.com/langchain-ai/langchain/issues/1182 | 1,592,154,462 | 1,182 |
[
"hwchase17",
"langchain"
] | The return Source Documents parameter for ChatVectorDBChain is not working. Getting the following error -
<img width="698" alt="image" src="https://user-images.githubusercontent.com/46256520/220151201-669c6a1a-63af-4a49-bc67-8289da1788c3.png">
Code causing the error below -
qa = ChatVectorDBChain.from_llm(OpenA... | bug : error - TypeError: from_llm() got an unexpected keyword argument 'return_source_documents' | https://api.github.com/repos/langchain-ai/langchain/issues/1179/comments | 2 | 2023-02-20T15:51:00Z | 2023-09-10T16:44:37Z | https://github.com/langchain-ai/langchain/issues/1179 | 1,592,097,809 | 1,179 |
[
"hwchase17",
"langchain"
] | For example, for a search task: to get the results from both bing, google and summarize them | Can multiple tools/agents be set so they are always used? | https://api.github.com/repos/langchain-ai/langchain/issues/1173/comments | 3 | 2023-02-20T10:55:43Z | 2023-09-12T21:30:08Z | https://github.com/langchain-ai/langchain/issues/1173 | 1,591,608,951 | 1,173 |
[
"hwchase17",
"langchain"
] | ## Description
I was going through the Intermediate Steps documentation: https://langchain.readthedocs.io/en/latest/modules/agents/examples/intermediate_steps.html.
My use case is to use this feature for conversation agent.
Sample code:
```
from langchain.agents import initialize_agent, load_tools
from l... | bug: `return_intermediate_steps=True` doesn't work for `"zero-shot-react-description"` agent | https://api.github.com/repos/langchain-ai/langchain/issues/1171/comments | 9 | 2023-02-20T09:36:34Z | 2023-03-03T15:31:41Z | https://github.com/langchain-ai/langchain/issues/1171 | 1,591,485,197 | 1,171 |
[
"hwchase17",
"langchain"
] | I couldn't find a complete tutorial for a Slack Bot to query information from pdf or docx files. Uses Weaviate as the vector database.
Please consider adding this to your gallery.
https://github.com/normandmickey/MrsStax
| Weaviate Slack Bot | https://api.github.com/repos/langchain-ai/langchain/issues/1164/comments | 0 | 2023-02-20T03:16:40Z | 2023-02-20T16:21:02Z | https://github.com/langchain-ai/langchain/issues/1164 | 1,591,055,073 | 1,164 |
[
"hwchase17",
"langchain"
] | When trying to assign Knowledge graph memory to a chain while networkx is not installed yet, you'll get the error below. This is not in line with the rest of the langchain codebase, which will catch the error and tell you to
`pip install networkx
`
The documentation on Knowledge graph memory also doesn't refer to... | Knowledge graph memory misses instructions on library to install | https://api.github.com/repos/langchain-ai/langchain/issues/1161/comments | 1 | 2023-02-20T00:14:39Z | 2023-02-21T05:43:03Z | https://github.com/langchain-ai/langchain/issues/1161 | 1,590,921,561 | 1,161 |
[
"hwchase17",
"langchain"
] | I've been trying to use document loaders and when I run the code, I always receive the error 'ImportError: failed to find libmagic. Check your installation'. I've uninstalled and reinstalled python-magic, done the same for the parent folder as well, but I still see the issue.
I've previously used langchain document... | Receiving the error 'ImportError: failed to find libmagic. Check your installation' when I try to use Document Loaders in local environment | https://api.github.com/repos/langchain-ai/langchain/issues/1148/comments | 1 | 2023-02-19T02:10:53Z | 2023-02-19T07:15:45Z | https://github.com/langchain-ai/langchain/issues/1148 | 1,590,531,350 | 1,148 |
[
"hwchase17",
"langchain"
] | Currently it is making up to N requests for all provided documents
```
results = self.llm_chain.apply(
# FYI - this is parallelized and so it is fast.
[{**{self.document_variable_name: d.page_content}, **kwargs} for d in docs]
)
```
This cause a problem when i have a ... | How to control parallelism of map-reduce/map-rerank QA chain? | https://api.github.com/repos/langchain-ai/langchain/issues/1145/comments | 2 | 2023-02-18T23:50:24Z | 2023-06-11T16:13:28Z | https://github.com/langchain-ai/langchain/issues/1145 | 1,590,504,857 | 1,145 |
[
"hwchase17",
"langchain"
] | What would be the best area to look up how to integrate Langchain with with BLOOM, FLAN, GPT-NEO, GPT-J etc., outside of a pre-existing cloud service?
So it could be used locally, or with a API setup by a developer.
And if not available, what are the things and steps that should be considered to develop and contrib... | Integration with BLOOM, FLAN, GPT-NEO, GPT-J etc. | https://api.github.com/repos/langchain-ai/langchain/issues/1138/comments | 6 | 2023-02-18T13:15:15Z | 2023-09-26T16:16:21Z | https://github.com/langchain-ai/langchain/issues/1138 | 1,590,342,542 | 1,138 |
[
"hwchase17",
"langchain"
] | Are the sources for `langchain-frontend` and `Dockerfile`s for images named in `docker-compose.yaml` available in a public repo? | Frontend and Dockerfile sources | https://api.github.com/repos/langchain-ai/langchain/issues/1137/comments | 1 | 2023-02-18T13:07:37Z | 2023-02-21T05:35:09Z | https://github.com/langchain-ai/langchain/issues/1137 | 1,590,340,631 | 1,137 |
[
"hwchase17",
"langchain"
] | Here is an example:
- I have created vector stores from several podcasts
- `metadata = {"guest": guest_name}`
- `question = "which guests have talked about <topic>?"`
Using `VectorDBQA`, this could be possible if `{context}` contained text + metadata | How can `Document` metadata be passed into prompts? | https://api.github.com/repos/langchain-ai/langchain/issues/1136/comments | 17 | 2023-02-18T11:20:42Z | 2024-05-10T23:26:09Z | https://github.com/langchain-ai/langchain/issues/1136 | 1,590,314,629 | 1,136 |
[
"hwchase17",
"langchain"
] | 🌚 | Dark mode for docs | https://api.github.com/repos/langchain-ai/langchain/issues/1132/comments | 2 | 2023-02-18T00:22:47Z | 2023-09-12T21:30:07Z | https://github.com/langchain-ai/langchain/issues/1132 | 1,590,126,603 | 1,132 |
[
"hwchase17",
"langchain"
] | See solution below:
` def add_documents(
self,
documents: List[Document],
ids: Optional[List[str]] = None,
) -> List[str]:
"""Run more documents through the embeddings and add to the vectorstore.
Args:
documents (List[Document]: Documents to add to the ... | Chroma vectorstore has add_text method but no add_document method, even though it has from_document method | https://api.github.com/repos/langchain-ai/langchain/issues/1127/comments | 2 | 2023-02-17T21:07:49Z | 2023-09-18T16:24:25Z | https://github.com/langchain-ai/langchain/issues/1127 | 1,589,964,143 | 1,127 |
[
"hwchase17",
"langchain"
] | This argument is found in qa_chain and should really be an argument in all chains
<img width="487" alt="image" src="https://user-images.githubusercontent.com/32659330/219785026-cdf75552-63a6-4582-92b5-aaf5b467397e.png">
| ChatVectorDB missing a useful arg: return_source_documents | https://api.github.com/repos/langchain-ai/langchain/issues/1126/comments | 0 | 2023-02-17T20:19:11Z | 2023-02-17T21:40:54Z | https://github.com/langchain-ai/langchain/issues/1126 | 1,589,913,086 | 1,126 |
[
"hwchase17",
"langchain"
] | <img width="716" alt="Screen Shot 2023-02-17 at 12 31 43 PM" src="https://user-images.githubusercontent.com/32659330/219725974-db991b3a-441d-4838-becd-2d9795734c05.png">
<img width="1004" alt="Screen Shot 2023-02-17 at 12 31 17 PM" src="https://user-images.githubusercontent.com/32659330/219725985-5d3aa4b9-f598-48b9-af... | Chroma embedding_function not a keyword for _client on most recent pull request | https://api.github.com/repos/langchain-ai/langchain/issues/1123/comments | 3 | 2023-02-17T17:32:52Z | 2023-03-05T09:58:22Z | https://github.com/langchain-ai/langchain/issues/1123 | 1,589,726,065 | 1,123 |
[
"hwchase17",
"langchain"
] | 
I have huges document and want to perform certain tasks as Sentiment Analysis, NER. But could not find any proper documentation on how to use this class?
| Documentation on MapReduceDocumentsChain | https://api.github.com/repos/langchain-ai/langchain/issues/1116/comments | 1 | 2023-02-17T13:00:12Z | 2023-08-24T16:17:45Z | https://github.com/langchain-ai/langchain/issues/1116 | 1,589,322,459 | 1,116 |
[
"hwchase17",
"langchain"
] | First off kudos for this remarkable library!
I'm experimenting with chatbot agents, but missing how can I save a specific conversation sessions and context per user.
The issue is that if I deploy this and serve to multiple users, the context gets confused. Any suggestions? | Keeping chat session ids with chatbot agents | https://api.github.com/repos/langchain-ai/langchain/issues/1115/comments | 5 | 2023-02-17T12:22:38Z | 2023-09-26T16:16:26Z | https://github.com/langchain-ai/langchain/issues/1115 | 1,589,278,020 | 1,115 |
[
"hwchase17",
"langchain"
] | If I'm not mistaken, right now, chains with no inputs aren't possible unless you override `Chain.prep_inputs()`.
My use-case for this is chatbots with "cold-starts". The first call doesn't have an input, allowing the chatbot to start the conversation. Along the same lines, chains that include an environment (in the ... | Chains with no inputs | https://api.github.com/repos/langchain-ai/langchain/issues/1113/comments | 4 | 2023-02-17T11:22:21Z | 2023-08-20T17:49:56Z | https://github.com/langchain-ai/langchain/issues/1113 | 1,589,206,146 | 1,113 |
[
"hwchase17",
"langchain"
] | Hi,
I would like to propose a relatively simple idea to increase the power of the library. I am not an ML researcher, so would appreciate constructive feedback on where the idea goes.
If langchain’s existing caching mechanism were augmented with optional output labels, a chain could be made that would generate im... | Idea: Prompt generation from examples | https://api.github.com/repos/langchain-ai/langchain/issues/1111/comments | 2 | 2023-02-17T09:17:10Z | 2023-09-10T16:44:48Z | https://github.com/langchain-ai/langchain/issues/1111 | 1,589,016,921 | 1,111 |
[
"hwchase17",
"langchain"
] | The agent after observation, when gives answer to AI, it just cuts off last few sentences. Is there any limit that i need to increase?
AI: That’s a great question! 🙌 According to reviews, some of the best things to do at Disneyland are:
1. Take a ride on the classic Disneyland Railroad.
2. Meet your favorite ... | we are hitting output text limits and it cuts off text. Please make it so there is no output limit | https://api.github.com/repos/langchain-ai/langchain/issues/1109/comments | 2 | 2023-02-17T06:41:46Z | 2023-02-18T11:13:14Z | https://github.com/langchain-ai/langchain/issues/1109 | 1,588,831,285 | 1,109 |
[
"hwchase17",
"langchain"
] | allow for configuration of which file loader the directory loader should use | swap out file reader in the directory reader | https://api.github.com/repos/langchain-ai/langchain/issues/1107/comments | 1 | 2023-02-17T06:08:31Z | 2023-08-24T16:17:50Z | https://github.com/langchain-ai/langchain/issues/1107 | 1,588,805,770 | 1,107 |
[
"hwchase17",
"langchain"
] | I keep getting this error with my langchain bot randomly.
```
Entering new AgentExecutor chain... [2023-02-16 19:45:22,661]
ERROR in app: Exception on /ProcessChat [POST] Traceback (most recent call last):
File "/Users/kj/vpchat/chat/env/lib/python3.9/site-packages/flask/app.py", line 2525, in wsgi_app
... | ValueError: Could not parse LLM output: | https://api.github.com/repos/langchain-ai/langchain/issues/1106/comments | 3 | 2023-02-17T06:07:28Z | 2023-09-10T16:44:54Z | https://github.com/langchain-ai/langchain/issues/1106 | 1,588,804,950 | 1,106 |
[
"hwchase17",
"langchain"
] | Langchain SQLDatabase and using SQL chain is giving me issues in the recent versions. My goal has been this:
- Connect to a sql server (say, Azure SQL server) using mssql+pyodbc driver (also tried mssql+pymssql driver)
`connection_url = URL.create(
"mssql+pyodbc",
query={"odbc_connect": co... | SQLDatabase chain having issue running queries on the database after connecting | https://api.github.com/repos/langchain-ai/langchain/issues/1103/comments | 4 | 2023-02-17T04:18:02Z | 2023-02-23T03:10:20Z | https://github.com/langchain-ai/langchain/issues/1103 | 1,588,726,606 | 1,103 |
[
"hwchase17",
"langchain"
] | since updating to v0.88 i get this error
```AttributeError: 'OpenAIEmbeddings' object has no attribute 'embedding_ctx_length```
Note: my faiss data and doc.index where create with an older version
my code is simple.
```
index = faiss.read_index("docs.index")
with open("faiss_store.pkl", "rb") as f... | AttributeError: 'OpenAIEmbeddings' object has no attribute 'embedding_ctx_length' | https://api.github.com/repos/langchain-ai/langchain/issues/1100/comments | 3 | 2023-02-16T21:47:55Z | 2023-09-18T16:24:31Z | https://github.com/langchain-ai/langchain/issues/1100 | 1,588,409,998 | 1,100 |
[
"hwchase17",
"langchain"
] | Pydantic error thrown on line 200 of `langchain/vectorstores/qdrant.py`
```python
points=rest.Batch(
ids=[uuid.uuid4().hex for _ in texts],
vectors=embeddings,
payloads=cls._build_payloads(texts, metadatas),
)
```
Details:
- Python 3.9.7
- langchain 0.0.88
Additional context:
- Integration tests... | [Qdrant] `Qdrant.from_texts` Pydantic Validation Fails | https://api.github.com/repos/langchain-ai/langchain/issues/1098/comments | 3 | 2023-02-16T21:25:22Z | 2023-02-18T21:47:40Z | https://github.com/langchain-ai/langchain/issues/1098 | 1,588,382,226 | 1,098 |
[
"hwchase17",
"langchain"
] | I know we already have support for YouTube videos, but adding support for .srt files would assist in gathering context from arbitrary movies/films/tv and other mediums. | Add ability to load .srt (subtitle) files | https://api.github.com/repos/langchain-ai/langchain/issues/1097/comments | 1 | 2023-02-16T21:00:23Z | 2023-02-18T21:47:23Z | https://github.com/langchain-ai/langchain/issues/1097 | 1,588,354,892 | 1,097 |
[
"hwchase17",
"langchain"
] | Snippet:
llm = OpenAI(streaming=True,
callback_manager=AsyncCallbackManager([StreamingLLMCallbackHandler(websocket)]),
verbose=True,
temperature=0)
chain = load_qa_chain(llm, chain_type="stuff",callback_manager= AsyncCallbackManager([]) )
a=await chain.arun(input... | Streaming not working with langchain | https://api.github.com/repos/langchain-ai/langchain/issues/1096/comments | 4 | 2023-02-16T20:56:03Z | 2023-09-10T16:45:03Z | https://github.com/langchain-ai/langchain/issues/1096 | 1,588,349,865 | 1,096 |
[
"hwchase17",
"langchain"
] | The OpenAI API has been quite unreliable this week and I am getting a bunch of timeouts. I don't want langchain to retry as I'm pretty sure OpenAI is still counting these requests toward billing, so I'd like to set max_retries=None or 0 but that doesn't seem to work. | Disable Retry on Timeout | https://api.github.com/repos/langchain-ai/langchain/issues/1094/comments | 4 | 2023-02-16T18:16:32Z | 2023-09-18T16:24:36Z | https://github.com/langchain-ai/langchain/issues/1094 | 1,588,153,939 | 1,094 |
[
"hwchase17",
"langchain"
] | 
```
pydantic.error_wrappers.ValidationError: 1 validation error for Document
page_content
none is not an allowed value (type=type_error.none.not_allowed)
``` | Qdrant Wrapper issue: _document_from_score_point exposes incorrect key for content | https://api.github.com/repos/langchain-ai/langchain/issues/1087/comments | 5 | 2023-02-16T13:18:41Z | 2023-12-11T02:44:09Z | https://github.com/langchain-ai/langchain/issues/1087 | 1,587,667,591 | 1,087 |
[
"hwchase17",
"langchain"
] | Would be incredible to have. Probably whisper to start. Happy to work on this after finishing up guards. Open to ideas for implementation. | Voice to text integration | https://api.github.com/repos/langchain-ai/langchain/issues/1076/comments | 5 | 2023-02-16T05:26:36Z | 2023-10-26T01:53:56Z | https://github.com/langchain-ai/langchain/issues/1076 | 1,587,043,373 | 1,076 |
[
"hwchase17",
"langchain"
] | Tools are currently chosen based on a prompt. If you have a few tools this works well but if you have dozens it will not. A possible solution is to optimally embed tool descriptions and have the agent choose tools based on top embeddings. This would allow applications to create highly specialized tools and pass in doze... | Add optional embedding layer to agent tools | https://api.github.com/repos/langchain-ai/langchain/issues/1075/comments | 2 | 2023-02-16T05:25:12Z | 2023-09-18T16:24:41Z | https://github.com/langchain-ai/langchain/issues/1075 | 1,587,042,229 | 1,075 |
[
"hwchase17",
"langchain"
] | Need to use async calls for the collapse/combine steps | MapReduceChain `acombine` not fully async | https://api.github.com/repos/langchain-ai/langchain/issues/1074/comments | 1 | 2023-02-16T05:24:50Z | 2023-08-24T16:17:55Z | https://github.com/langchain-ai/langchain/issues/1074 | 1,587,041,895 | 1,074 |
[
"hwchase17",
"langchain"
] | Hi guys,
I'm trying build a map_reduce chain to handle the long document summarization. Per my understanding, a long document will be cut into several parts firstly and then query the summary in map_reduce mode, that really make sense. However seems like OpenAI has a limitation on the query token per minute, is ther... | How to control the number of parallel jobs in the MapReduce chain? | https://api.github.com/repos/langchain-ai/langchain/issues/1073/comments | 3 | 2023-02-16T05:12:29Z | 2023-07-17T06:20:58Z | https://github.com/langchain-ai/langchain/issues/1073 | 1,587,030,340 | 1,073 |
[
"hwchase17",
"langchain"
] | we miss out on tracing the combine docs chain in ChatVectorDB bc we invoke combine_docs directly instead of through run or dunder call (which is where the callback manager is wired up) | Callbacks/tracing not triggering in combine docs chains within ChatVectorDBChain | https://api.github.com/repos/langchain-ai/langchain/issues/1072/comments | 1 | 2023-02-16T04:41:06Z | 2023-08-24T16:18:00Z | https://github.com/langchain-ai/langchain/issues/1072 | 1,587,003,936 | 1,072 |
[
"hwchase17",
"langchain"
] | - Mac M1
- Conda env on Python 3.9
- langchain==0.0.87
`from langchain import AI21`
`Traceback (most recent call last):`
`File "<stdin>", line 1, in <module>`
`ImportError: cannot import name 'AI21' from 'langchain' (/Users/reletreby/miniforge3/envs/gpt/lib/python3.9/site-packages/langchain/__init__.py)` | ImportError: cannot import name 'AI21' from 'langchain' | https://api.github.com/repos/langchain-ai/langchain/issues/1071/comments | 2 | 2023-02-16T01:09:26Z | 2023-02-16T07:34:01Z | https://github.com/langchain-ai/langchain/issues/1071 | 1,586,829,589 | 1,071 |
[
"hwchase17",
"langchain"
] | This issue pertains to tasks related to creating a deployment template for deploying an API Gateway + Lambda + langchain backed service to AWS. | Deployment template for AWS | https://api.github.com/repos/langchain-ai/langchain/issues/1067/comments | 10 | 2023-02-15T19:39:11Z | 2023-10-25T20:50:16Z | https://github.com/langchain-ai/langchain/issues/1067 | 1,586,439,909 | 1,067 |
[
"hwchase17",
"langchain"
] | add support for chat vector db with sources | chatvectordb with sources | https://api.github.com/repos/langchain-ai/langchain/issues/1065/comments | 0 | 2023-02-15T15:59:11Z | 2023-02-16T08:29:49Z | https://github.com/langchain-ai/langchain/issues/1065 | 1,586,106,129 | 1,065 |
[
"hwchase17",
"langchain"
] | It would be great to get the score output of the LLM (e.g. using Huggingface models) for use cases like NLU. It doesn't look possible with the current LLM and chain classes as it specifically selects the "text" in the output only. I'm resorting to writing my own classes to allow this, but haven't thought much about how... | Output score in LLMChain | https://api.github.com/repos/langchain-ai/langchain/issues/1063/comments | 3 | 2023-02-15T10:34:25Z | 2023-09-25T16:18:52Z | https://github.com/langchain-ai/langchain/issues/1063 | 1,585,613,662 | 1,063 |
[
"hwchase17",
"langchain"
] | I'm trying to use map_reduce qa chain together with chat vector and it does not work.
```
question_generator = LLMChain(llm=llm, prompt=CONDENSE_QUESTION_PROMPT)
doc_chain = load_qa_chain(llm, chain_type="map_reduce", verbose=True)
chain = ChatVectorDBChain(
... | ChatVectorDBChain and map_reduce qa chain does not seem to work | https://api.github.com/repos/langchain-ai/langchain/issues/1061/comments | 1 | 2023-02-15T07:50:06Z | 2023-02-16T07:57:14Z | https://github.com/langchain-ai/langchain/issues/1061 | 1,585,379,366 | 1,061 |
[
"hwchase17",
"langchain"
] | OpenSearch supports approximate vector search powered by Lucene engine, nmslib engine, faiss engine and also bruteforce vector search using painless scripting functions. As OpenSearch is popular search engine, it would be good to have this available as one of the supported vector database
| Add support for OpenSearch Vector database | https://api.github.com/repos/langchain-ai/langchain/issues/1054/comments | 12 | 2023-02-14T22:11:20Z | 2024-03-15T19:10:06Z | https://github.com/langchain-ai/langchain/issues/1054 | 1,584,900,958 | 1,054 |
[
"hwchase17",
"langchain"
] | Getting a context length exceeded error with `VectorDBQAWithSourcesChain`.
Reproducible example:
```py
from langchain.chains import VectorDBQAWithSourcesChain
from langchain.chains.qa_with_sources import load_qa_with_sources_chain
from langchain.embeddings import OpenAIEmbeddings
from langchain.llms import... | Model's context length exceeded on `VectorDBQAWithSourcesChain` | https://api.github.com/repos/langchain-ai/langchain/issues/1048/comments | 4 | 2023-02-14T12:34:29Z | 2023-09-27T16:14:22Z | https://github.com/langchain-ai/langchain/issues/1048 | 1,584,092,030 | 1,048 |
[
"hwchase17",
"langchain"
] | Tried out code example from the [docs](https://langchain.readthedocs.io/en/latest/modules/chains/async_chain.html) and ran into this error:
**Code**:
```python
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
async def async_generate(chain)... | Error while running chain async: `'Completion' has no attribute 'acreate'` | https://api.github.com/repos/langchain-ai/langchain/issues/1045/comments | 1 | 2023-02-14T10:43:22Z | 2023-02-14T10:46:49Z | https://github.com/langchain-ai/langchain/issues/1045 | 1,583,920,979 | 1,045 |
[
"hwchase17",
"langchain"
] | Hey guys,
Happy to use this great tool to leverage LLM. Currently I'm trying to use it to summarize articles, and it's working very well most of the time.
Sometimes the output will be cut off due to OpenAI's issue like this, but in it's official WebUI I can type "continue" to let it finish, so do we have a way to... | SummaryChain output cutoff | https://api.github.com/repos/langchain-ai/langchain/issues/1044/comments | 3 | 2023-02-14T09:23:14Z | 2023-02-14T14:24:03Z | https://github.com/langchain-ai/langchain/issues/1044 | 1,583,799,193 | 1,044 |
[
"hwchase17",
"langchain"
] |
ImportError: cannot import name 'Chroma' from 'langchain.vectorstores' | Getting Import error as Croma | https://api.github.com/repos/langchain-ai/langchain/issues/1042/comments | 1 | 2023-02-14T06:58:39Z | 2023-02-16T07:54:31Z | https://github.com/langchain-ai/langchain/issues/1042 | 1,583,610,676 | 1,042 |
[
"hwchase17",
"langchain"
] | For contributors using codespaces/vscode, this will install everything they need and make it easier/quicker to set up | Create `.devcontainer` for codespaces | https://api.github.com/repos/langchain-ai/langchain/issues/1038/comments | 2 | 2023-02-14T05:51:36Z | 2023-09-29T16:10:22Z | https://github.com/langchain-ai/langchain/issues/1038 | 1,583,537,226 | 1,038 |
[
"hwchase17",
"langchain"
] | If at any point you're planning to do a big refactor/rewrite, I want to bring your attention to https://nbdev.fast.ai/ if you hadn't already considered it.
https://github.com/fastai/fastai is a great example and nbdev itself is built using nbdev.
Some big advantages:
- development can happen in notebooks
- whic... | Suggestion: consider nbdev | https://api.github.com/repos/langchain-ai/langchain/issues/1037/comments | 1 | 2023-02-14T05:46:19Z | 2023-08-24T16:18:04Z | https://github.com/langchain-ai/langchain/issues/1037 | 1,583,533,546 | 1,037 |
[
"hwchase17",
"langchain"
] | I propose to put together a dockerfile/compose for quickly setting up a dev/build container.
This will also have the benefit of extra security in the scenarios of code executions as mentioned in #1026.
I will make a PR for this.
## Update:
This issue will be used to track the progress of PRs related to D... | Docker for development and sandboxing | https://api.github.com/repos/langchain-ai/langchain/issues/1031/comments | 4 | 2023-02-14T03:28:40Z | 2023-09-23T08:41:55Z | https://github.com/langchain-ai/langchain/issues/1031 | 1,583,426,275 | 1,031 |
[
"hwchase17",
"langchain"
] | I have some concerns about the way some of this code is implemented.
To name the two I've noticed so far, the llm_math and sql_database chains.
It seems these two will blindly execute any code that is fed to it from the llm
This is a major security risk, since this opens anyone who uses these up for remote cod... | Security concerns | https://api.github.com/repos/langchain-ai/langchain/issues/1026/comments | 31 | 2023-02-13T21:46:22Z | 2023-10-25T16:10:08Z | https://github.com/langchain-ai/langchain/issues/1026 | 1,583,115,861 | 1,026 |
[
"hwchase17",
"langchain"
] | Currently, `AsyncCallbackManager` manages both sync and async callbacks. Need to come up with a clean way to handle this. See @nfcampos comments on https://github.com/hwchase17/langchain/pull/1014 | Better handling of async callbacks | https://api.github.com/repos/langchain-ai/langchain/issues/1025/comments | 1 | 2023-02-13T19:49:39Z | 2023-08-24T16:18:10Z | https://github.com/langchain-ai/langchain/issues/1025 | 1,582,956,715 | 1,025 |
[
"hwchase17",
"langchain"
] | Running `langchain-0.0.85` (looks like _just_ released, thanks!) in a Jupyter notebook. [Following the notebook instructions](https://langchain.readthedocs.io/en/latest/modules/chains/combine_docs_examples/vector_db_qa.html):
```
from langchain.document_loaders import TextLoader
```
And I get:
```
ImportErr... | 'from langchain.document_loaders import TextLoader' cannot find 'RecursiveCharacterTextSplitter' | https://api.github.com/repos/langchain-ai/langchain/issues/1024/comments | 3 | 2023-02-13T15:36:15Z | 2023-05-17T15:28:02Z | https://github.com/langchain-ai/langchain/issues/1024 | 1,582,580,716 | 1,024 |
[
"hwchase17",
"langchain"
] | thanks for creating this amazing tool. Just a stupid question from newbie, could anyone help me to fix it? Thanks
I run
from langchain.agents import load_tools
and encounter with
---------------------------------------------------------------------------
ImportError Traceback (... | import errors | https://api.github.com/repos/langchain-ai/langchain/issues/1023/comments | 7 | 2023-02-13T15:06:25Z | 2023-09-28T16:12:29Z | https://github.com/langchain-ai/langchain/issues/1023 | 1,582,522,269 | 1,023 |
[
"hwchase17",
"langchain"
] | following doc below:
https://langchain.readthedocs.io/en/latest/modules/utils/combine_docs_examples/vectorstores.html
from langchain.vectorstores import ElasticVectorSearch, Pinecone, Weaviate, FAISS, Qdrant, Chroma
could not find Chroma, as ref to the source code Chroma module has been delayed, please modify the do... | 'from langchain.vectorstores import Chroma' could not find Chroma | https://api.github.com/repos/langchain-ai/langchain/issues/1020/comments | 9 | 2023-02-13T11:49:55Z | 2024-06-15T13:15:55Z | https://github.com/langchain-ai/langchain/issues/1020 | 1,582,203,099 | 1,020 |
[
"hwchase17",
"langchain"
] | https://github.com/asg017/sqlite-vss
I think this is an interesting option, FAISS indices backed with SQLite storage and interface, could be the easiest step up from in memory FAISS to something persisted before going for a hosted vector store | Add sqlite-vss as a vectorstore option | https://api.github.com/repos/langchain-ai/langchain/issues/1019/comments | 5 | 2023-02-13T08:34:43Z | 2023-12-15T18:30:47Z | https://github.com/langchain-ai/langchain/issues/1019 | 1,581,892,410 | 1,019 |
[
"hwchase17",
"langchain"
] | Great lib!!!
How to held a conversation with vector db context provided?
Tried `ConversationChain`, but no way to add `vectorstore` to the chain.
Tried `ChatVectorDBChain`, but this easily exceeded the model's maximum context length:
```
openai.error.InvalidRequestError: This model's maximum context len... | Is there a way to add `vectorstore` to `ConversationChain` or memory to `ChatVectorDBChain` | https://api.github.com/repos/langchain-ai/langchain/issues/1015/comments | 5 | 2023-02-13T06:45:04Z | 2023-03-28T11:42:46Z | https://github.com/langchain-ai/langchain/issues/1015 | 1,581,760,800 | 1,015 |
[
"hwchase17",
"langchain"
] | Looking at [this](https://langchain.readthedocs.io/en/latest/modules/agents/examples/custom_agent.html) example, the CustomAgent repeats the same thought **"I should look for the population of Canada."** endlessly.
I tried to fix this by adding the instruction "Memorize the Obersavation for each thought. Do not repe... | Custom Agent Repeats same thought | https://api.github.com/repos/langchain-ai/langchain/issues/1013/comments | 3 | 2023-02-13T02:22:08Z | 2023-09-10T16:45:19Z | https://github.com/langchain-ai/langchain/issues/1013 | 1,581,530,629 | 1,013 |
[
"hwchase17",
"langchain"
] | When I try to install with `pip install` for the current version I get the following error:
```
ERROR: Could not find a version that satisfies the requirement langchain==0.0.84 (from versions: 0.0.1, 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.10, 0.0.11, 0.0.12, 0.0.13, 0.0.14, 0.0.15, 0.0.16, 0.0.... | Missing current version of lanchain | https://api.github.com/repos/langchain-ai/langchain/issues/1009/comments | 2 | 2023-02-12T20:22:20Z | 2023-11-30T15:16:24Z | https://github.com/langchain-ai/langchain/issues/1009 | 1,581,396,942 | 1,009 |
[
"hwchase17",
"langchain"
] | @hwchase17 - I have been using langchain for questions answer & summarization tasks and found it quite any helpful. Any plan to add functionality to handle NER tasks.
If you could suggest if any other resource that can be used for the same. Thanks for reading | Support for Named Entity Recognition Tasks | https://api.github.com/repos/langchain-ai/langchain/issues/1006/comments | 5 | 2023-02-12T15:38:23Z | 2023-09-26T16:16:57Z | https://github.com/langchain-ai/langchain/issues/1006 | 1,581,304,031 | 1,006 |
[
"hwchase17",
"langchain"
] | Hey @hwchase17 ,
I think that plain python string formatter style templates are sometimes too constrained for certain advanced use cases (especially for prompts involving a lot of if/else matching). Could we consider adding support for other alternate template engines as well?
Say [jinja](https://jinja.palletsproject... | Support for alternate template engines and syntax (like Jinja) | https://api.github.com/repos/langchain-ai/langchain/issues/1001/comments | 4 | 2023-02-12T07:14:03Z | 2024-01-25T03:20:00Z | https://github.com/langchain-ai/langchain/issues/1001 | 1,581,152,614 | 1,001 |
[
"hwchase17",
"langchain"
] | I've seen this a few times: if an agent only has one tool, it will sometimes do this:
```Action: [Tool Name]
Action Input: Some input
Observation: [Tool Name] is not a valid tool
```
I think it's getting confused because the list of available tools only has one item, so it thinks the entire tool is called `[T... | React Agents sometimes fail if they only have one tool | https://api.github.com/repos/langchain-ai/langchain/issues/998/comments | 3 | 2023-02-12T01:34:51Z | 2023-10-21T16:06:52Z | https://github.com/langchain-ai/langchain/issues/998 | 1,581,080,115 | 998 |
[
"hwchase17",
"langchain"
] | I have a slack bot using slack bolt for python to handle various request for certain topics.
Using the SQLite Cache as described in here
https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_caching.html
Fails when asking the same question mutiple times for the first time with error
> (sqlite3... | SQLite Cache memory for async agent runs fails in concurrent calls | https://api.github.com/repos/langchain-ai/langchain/issues/983/comments | 1 | 2023-02-10T19:30:13Z | 2023-02-27T01:54:44Z | https://github.com/langchain-ai/langchain/issues/983 | 1,580,212,473 | 983 |
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