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https://api.github.com/repos/langchain-ai/langchain/issues/8600 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8600/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8600/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8600/events | https://github.com/langchain-ai/langchain/pull/8600 | 1,832,098,185 | PR_kwDOIPDwls5W8-25 | 8,600 | [OpenSearch] : Fix AOSS Initialization | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-08-01T22:08:33 | 2023-08-01T22:33:52 | 2023-08-01T22:33:51 | CONTRIBUTOR | null | ### Description
This PR fixes the AOSS Initialization in Opensearch.
### Maintainers
@rlancemartin, @eyurtsev, @navneet1v | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8599 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8599/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8599/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8599/events | https://github.com/langchain-ai/langchain/pull/8599 | 1,832,094,938 | PR_kwDOIPDwls5W8-L2 | 8,599 | LlamaCpp, add n_gqa flag to support Llama2 | {
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... | closed | false | null | [] | null | 4 | 2023-08-01T22:04:57 | 2023-08-04T14:05:52 | 2023-08-04T14:05:52 | NONE | null | To load and run llama 2 70b models `n_gqa` must be set to 8. For other models it can be unset (and defaults to 1). Tested with both llama 2 70b (set) and llama 2 13b (unset) and both work.
Maintainer guess @hwchase17
Fixes https://github.com/langchain-ai/langchain/issues/8486 | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8598 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8598/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8598/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8598/events | https://github.com/langchain-ai/langchain/pull/8598 | 1,832,068,716 | PR_kwDOIPDwls5W84iW | 8,598 | Fixed source key name for docugami loader | {
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... | closed | false | null | [] | null | 5 | 2023-08-01T21:38:15 | 2023-09-17T18:54:21 | 2023-08-23T18:24:55 | CONTRIBUTOR | null | The Docugami loader was not returning the source metadata key. This was triggering this exception when used with retrievers, per https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/schema/prompt_template.py#L193C1-L195C41
The fix is simple and just updates the metadata key name for the doc... | {
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@hwchase17 please see and merge. And also close the PR #8550. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8596 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8596/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8596/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8596/events | https://github.com/langchain-ai/langchain/pull/8596 | 1,832,006,554 | PR_kwDOIPDwls5W8rDv | 8,596 | docs: update `unstructured` install instructions | {
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Updates the `unstructured` install instructions. For `unstructured>=0.9.0`, dependencies are broken out by document type and the base `unstructured` package includes fewer dependencies. `pip install "unstructured[local-inference]"` has been replace by `pip install "unstructured[all-docs]"`, though the `l... | {
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- Description: The changes will introduce a tool `Segment` for LLM based app's analytics.
- Dependencies: `segment-analytics-python`
- Tag maintainer: @hinthornw
- Twitter handle: @yashpokar
The PR is passing linting and testing before submitting. Ran `make format`, `make lint... | {
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I am following the instruction from this doc:
DOC: Structure answers with OpenAI functions
-https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa
But this gives some error.
# Code
```python
from langchain.chains impo... | {
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Hello there,
I am currently attempting to add combined memory to ConversationalRetrievalChain (CRC). However, I am unsure if combined memory is compatible with CRC. I have made a few modifications, but unfortunately, I have encountered errors preventing it from running properly. I ... | {
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langchain = "^0.0.248"
### Who can help?
@hwchase17 @agola11
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- [ ] My own modified scripts
### Related Components
- [x] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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This PR aims to give a bit more control on the commands executed by the `SQLDatabase`. At the moment, if you ask "Drop the table X in database Y" with `SQLDatabaseChain`, it will generate code to drop the table that will be run by `SQLDatabase`. Today no checks are made on the commands in `SQLDatabase`... | {
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Verified in dockerimage python:3.9
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`ConversationSummaryMemory` and `ConversationSummaryBufferMemory` can be used as memory within async conversational chains, but they themselves are fully blocking. In particular, `Chain.acall()` is async, but it calls `Chain.prep_outputs()`, which calls `self.memory.save_context()`. In the case of ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8579 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8579/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8579/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8579/events | https://github.com/langchain-ai/langchain/issues/8579 | 1,831,277,961 | I_kwDOIPDwls5tJxWJ | 8,579 | Issue: Agent with memory and intermediate steps | {
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Hi everyone,
I'm having trouble working with the agent structure in Langchain.
I would like to have an agent that has memory and can return intermediate steps.
However It doesn't work, when I make an agent executor, the return_intermediate_steps=True makes it crash as the memory can... | {
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... | closed | false | null | [] | null | 1 | 2023-08-01T12:36:52 | 2023-08-01T13:59:58 | 2023-08-01T13:52:44 | NONE | null | langchain_touchmed，增加 prompt
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https://api.github.com/repos/langchain-ai/langchain/issues/8577 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8577/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8577/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8577/events | https://github.com/langchain-ai/langchain/issues/8577 | 1,831,132,425 | I_kwDOIPDwls5tJN0J | 8,577 | multiple bases have instance lay-out conflict on HumanMessageChunk class on langchain 0.0.249 | {
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### langchain Version **0.0.249**
### Python Version **3.8**
### Other notes
Using this on notebook in Azure Synapse Studio
### Error
```
When import happening getting bellow error message
TypeError Traceback (most recent call last)
/tmp/ipykernel_17180/7228... | {
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... | closed | false | null | [] | null | 2 | 2023-08-01T08:50:15 | 2023-08-01T16:30:39 | 2023-08-01T16:30:30 | CONTRIBUTOR | null | Description:
This PR adds support for loading documents from Huawei OBS (Object Storage Service) in Langchain. OBS is a cloud-based object storage service provided by Huawei Cloud. With this enhancement, Langchain users can now easily access and load documents stored in Huawei OBS directly into the system.
Key Chan... | {
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This repo was split up between the core package and some experimental package. While this is a good idea, it's kinda odd to have both packages in the same repo. Even further you're releasing versions for both of these packages within the same repo. So 5 days ago there was a 0.0.5 release... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8571 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8571/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8571/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8571/events | https://github.com/langchain-ai/langchain/pull/8571 | 1,830,709,083 | PR_kwDOIPDwls5W4UvU | 8,571 | bump 249 | {
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- Description: updated readme.
- Tag maintainer: @baskaryan
- Twitter handle: @Levalencia
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Enhance the retrieval callback hooks to include:
- document IDs from the underlying vector store
- document embeddings used during retrieval
### Motivation
I want to build a callback handler that enables LangChain users to visualize their data in [Phoenix](https://github.com/Arize-ai/phoenix), ... | {
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I made some code changes on the Hologres vector store to improve the data insertion performance.
The code has passed the format/lint/spell check. And I have run the unit test for Hologres connecting to my own database.
There is already an integration test `test_hologres.py` that covers the content of this change... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8567 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8567/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8567/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8567/events | https://github.com/langchain-ai/langchain/issues/8567 | 1,830,623,474 | I_kwDOIPDwls5tHRjy | 8,567 | Enhance retrieval callback hooks to include information on cosine similarity scores or other retrieval metrics | {
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Make cosine similarity (or other retrieval metric, e.g., Euclidean distance) between query and retrieved documents available at the `retriever` callback hook.
Currently, these scores are computed during retrieval and are discarded before they become available to the retrieval callback hook:
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8566 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8566/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8566/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8566/events | https://github.com/langchain-ai/langchain/pull/8566 | 1,830,597,493 | PR_kwDOIPDwls5W381v | 8,566 | fix bug in AzureML Endpoint | {
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... | open | false | null | [] | null | 10 | 2023-08-01T07:00:01 | 2023-12-08T06:08:34 | null | NONE | null | Description:
fix bug in azureml_endpoint.py
Issue:
when using the AzureMLOnlineEndpoint class without passing the content_formatter parameter, an AttributeError will occur. similarly, with classAzureMLChatOnlineEndpoint.
Details:
1. update ContentFormatterBase to inherit from BaseModel for Pydantic validation ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8565 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8565/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8565/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8565/events | https://github.com/langchain-ai/langchain/issues/8565 | 1,830,592,050 | I_kwDOIPDwls5tHJ4y | 8,565 | Issue: How to use chain_type args in LLMchain? | {
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I am currently working on the task of **article rewriting**, and both the QA chain and Summarize chain are not quite suitable for my task.
Since I need to rewrite **multiple "lengthy"** articles, I would like to know how to use the chain_type in LLMchain. Alternatively, are there any o... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8564 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8564/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8564/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8564/events | https://github.com/langchain-ai/langchain/issues/8564 | 1,830,536,926 | I_kwDOIPDwls5tG8be | 8,564 | Add callback support for embeddings | {
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"id":... | closed | false | null | [] | null | 2 | 2023-08-01T06:13:53 | 2023-11-07T16:06:08 | 2023-11-07T16:06:07 | NONE | null | ### Feature request
Add embedding support to the callback system. Here is one approach I have in mind.
- [ ] Add `on_embedding_start` method on `CallbackManagerMixin` in `libs/langchain/langchain/callbacks/base.py`.
- [ ] Implement `EmbeddingManagerMixin` with `on_embedding_end` and `on_embedding_error` methods ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8563 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8563/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8563/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8563/events | https://github.com/langchain-ai/langchain/issues/8563 | 1,830,501,646 | I_kwDOIPDwls5tGz0O | 8,563 | Petals API Support | {
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Currently, langchain supports petals, but I think we should also support using a petals API endpoint. https://github.com/petals-infra/chat.petals.dev
### Motivation
The idea here is that users don't need to run the base application on their system, and can just use the API directly.
I think th... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8562 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8562/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8562/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8562/events | https://github.com/langchain-ai/langchain/pull/8562 | 1,830,413,556 | PR_kwDOIPDwls5W3VnE | 8,562 | implement async exec for base.py | {
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... | closed | false | null | [] | null | 2 | 2023-08-01T03:53:40 | 2023-09-21T04:00:41 | 2023-09-21T04:00:41 | CONTRIBUTOR | null | Can we such a method for async? The return type is specified as `asyncio.Task[Dict[str, str]]` to represent the dictionary return type wrapped in an `asyncio.Task`. `Since _acall()` is an asynchronous method, any coroutine calls within it should be awaited. So, we use await when calling `run_manager.on_text()` to prope... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8560 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8560/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8560/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8560/events | https://github.com/langchain-ai/langchain/pull/8560 | 1,830,366,362 | PR_kwDOIPDwls5W3Lqx | 8,560 | Add enum rendering to api reference | {
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the class based on membership checks of its attributes. It does not feel like
the correct solution, but the correct solution seems very involved in this
case.
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Most databases include comment metadata on both tables and columns in a table. It would be nice to be able to pass this additional context to the LLM to get a better response.
The implementation could include adding two parameters to the [SQLDatabase](https://github.com/langchain-ai/langchain... | {
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... | closed | false | null | [] | null | 1 | 2023-08-01T00:57:54 | 2023-08-01T01:17:47 | 2023-08-01T01:17:47 | CONTRIBUTOR | null | Combining runnable sequences was dropping a step in the middle.
@nfcampos @baskaryan
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LangChain: 0.0.248
Python: 3.9.17
OS version: Linux 6.1.27-43.48.amzn2023.x86_64
### Who can help?
I will submit a PR for a solution to this problem
### Information
- [ ] The official example notebooks/scripts
- [x] My own modified scripts
### Related Components
- [ ] LLMs/Chat M... | {
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do you want to maybe work off this and add tests to this? | {
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@baskaryan
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Python: v3.11
Langchain: v0.0.248
### Who can help?
I'll submit a PR for it tonight, just wanted to get the Issue in before.
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding ... | {
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**LangChain:** 0.0.248
**Python:** 3.10.10
**OS version:** Linux 5.10.178-162.673.amzn2.x86_64
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@agola11
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When iterating through an openapi spec, if the value of `docs` is NULL within a get/post/patch or delete endpoint, then the code throws an error - docs not have attribute "get".
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An openapi compliant json spec where this is material fix - https://github.com/SpaceTrad... | {
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Before: AgentExecutor hangs indefinitely in Pending mode, output & tokens & latency are not tracked to the system
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I had created a PR #7546 for this but chain has moved to langchain_experimental lib therefore created a new PR.
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https://api.github.com/repos/langchain-ai/langchain/issues/8535 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8535/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8535/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8535/events | https://github.com/langchain-ai/langchain/issues/8535 | 1,829,840,969 | I_kwDOIPDwls5tEShJ | 8,535 | DOC: Missing documentation langchain.utilities.SQLDatabase | {
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https://api.python.langchain.com/en/latest/utilities/langchain.utilities.sql_database.SQLDatabase.html
### Idea or request for content:
Documentation is missing, although i can import this class in the lateste version. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8533 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8533/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8533/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8533/events | https://github.com/langchain-ai/langchain/pull/8533 | 1,829,834,570 | PR_kwDOIPDwls5W1Y1m | 8,533 | fix error in chroma docker instructions | {
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https://python.langchain.com/docs/integrations/vectorstores/chroma#basic-example-using-the-docker-container | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8532 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8532/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8532/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8532/events | https://github.com/langchain-ai/langchain/pull/8532 | 1,829,821,698 | PR_kwDOIPDwls5W1WB- | 8,532 | conversational retrieval chain in lcel | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8530 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8530/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8530/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8530/events | https://github.com/langchain-ai/langchain/pull/8530 | 1,829,785,927 | PR_kwDOIPDwls5W1OMc | 8,530 | doc(prompts): Follow up on broken Prompt Sublink pages | {
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- Issue: #8477
- Dependencies: None
- Tag maintainer: @baskaryan
- Twitter handle: [@BharatR123](twitter.com/BharatR123)
The links were still broken after #8478 and sadly the issue was not caught with either the Vercel app build and `make docs_linkcheck`
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https://api.github.com/repos/langchain-ai/langchain/issues/8529 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8529/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8529/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8529/events | https://github.com/langchain-ai/langchain/pull/8529 | 1,829,767,775 | PR_kwDOIPDwls5W1KP7 | 8,529 | Added formatting system message option to get_buffer_string | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8528 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8528/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8528/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8528/events | https://github.com/langchain-ai/langchain/pull/8528 | 1,829,749,741 | PR_kwDOIPDwls5W1GSl | 8,528 | fix issue #8357 by making json backtick regex greedy | {
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- Issue: #8357
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https://api.github.com/repos/langchain-ai/langchain/issues/8527 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8527/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8527/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8527/events | https://github.com/langchain-ai/langchain/issues/8527 | 1,829,736,076 | I_kwDOIPDwls5tD46M | 8,527 | Cannot import name 'HumanMessage' from 'langchain.schema' | {
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LangChain ==0.0.248
Platform Windows 10
Python == 3.10.9
Whenever I use from langchain.schema import HumanMessage I get error,
**ImportError: cannot import name 'HumanMessage' from 'langchain.schema'**
I have tried updating llama-index but still getting same error
@agola11
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https://api.github.com/repos/langchain-ai/langchain/issues/8526 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8526/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8526/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8526/events | https://github.com/langchain-ai/langchain/issues/8526 | 1,829,703,530 | I_kwDOIPDwls5tDw9q | 8,526 | how to Stream Search tool responses | {
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search = SerpAPIWrapper()
tools = define_tools(llm_chain,search)
tools = [
Tool(
name="Search",
func=search.run,
description="useful for when you need to answer questions about current events",
# return_direct = True
),
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I am just trying to from langchain import LLMMathChain, SerpAPIWrapper, SQLDatabase, SQLDatabaseChain
Traceback (most recent call last):
File "/home/huangj/01_LangChain/LangChainCHSample/05_05_SQL_Chain.py", line 1, in <module>
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- Issue: After the change in #7758 the intent is always set to "UPDATE". Indeed, if the answer to the prompt contains only "SELECT" the `find("SELECT")` operation returns a higher value w.r.t. `-1` returned by `find("UPDATE")`.
- Dependencies: None,
- Tag maintainer:... | {
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1)Map reduce example in docs is missing an important import statement. Figured other people would benefit from being able to copy 🍝 the code.
2)RefineDocumentsChain example also broken.
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None
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None. One liner.
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- Issue: None
- Dependencies: None
- Tag maintainer: @rlancemartin, @eyurtsev
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This is an issue fix for https://github.com/langchain-ai/langchain/issues/7953
It was introduced as part of this change.
https://github.com/langchain-ai/langchain/commit/663b0933e488... | {
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This is an issue fix for #7953
It was introduced as part of this change.
https://github.com/langchain-ai/langchain/commit/663b0933e488383e6a9bc2a04b4b1cf866a8ea94
@agola11 @bask... | {
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MMR Support for Vertex AI Matching Engine
### Motivation
The results of Matching Engine are not optimal
### Your contribution
MMR Support for Vertex AI Matching Engine
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https://api.github.com/repos/langchain-ai/langchain/issues/8513 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8513/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8513/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8513/events | https://github.com/langchain-ai/langchain/pull/8513 | 1,829,145,772 | PR_kwDOIPDwls5WzAc1 | 8,513 | SQL use case docs | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8512 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8512/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8512/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8512/events | https://github.com/langchain-ai/langchain/issues/8512 | 1,829,012,261 | I_kwDOIPDwls5tBIMl | 8,512 | Issue: <Please write a comprehensive title after the 'Issue: ' prefix> | {
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when i want to use openai, i install it with command"pip3 install openai", but i really wanti to use chatglm, when i run "pip3 install chartglm ", it does not work",please help to answer the question
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8511 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8511/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8511/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8511/events | https://github.com/langchain-ai/langchain/issues/8511 | 1,828,789,616 | I_kwDOIPDwls5tAR1w | 8,511 | Add memory to an Agent using RedisChatMessageHistory with sentinels throwing an error | {
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I am trying to use `RedisChatMessageHistory` within an agent, but I'm encountering this error:
My redis url I am using looks like that:
`redis_url = "redis+sentinel://:password@host:port/servic... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8510 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8510/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8510/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8510/events | https://github.com/langchain-ai/langchain/issues/8510 | 1,828,789,032 | I_kwDOIPDwls5tARso | 8,510 | Issue: output_parsers to work with lists of custom objects? | {
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So It's possible to parse "complex" objects with
```python
response_schemas = [
ResponseSchema(name="date", description="The date of the event"),
ResponseSchema(name="place", description="The place where the event will happen"),
]
output_parser = StructuredOutputParser.fr... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8509 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8509/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8509/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8509/events | https://github.com/langchain-ai/langchain/pull/8509 | 1,828,678,624 | PR_kwDOIPDwls5WxZ3T | 8,509 | add 3 property types in metadata for notiondb loader | {
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"url... | closed | false | null | [] | null | 2 | 2023-07-31T08:33:31 | 2023-09-28T00:38:05 | 2023-09-28T00:38:05 | CONTRIBUTOR | null | ### Description:
NotionDB supports a number of common property types. I have found three common types that are not included in notiondb loader. When programs loaded them with notiondb, which will cause some metadata information not to be passed to langchain. Therefore, I added three common types:
- date
- created_... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8508 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8508/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8508/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8508/events | https://github.com/langchain-ai/langchain/pull/8508 | 1,828,677,520 | PR_kwDOIPDwls5WxZoH | 8,508 | Add OpenAI Whisper Audio Loader | {
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... | closed | false | null | [] | null | 1 | 2023-07-31T08:32:47 | 2023-07-31T08:33:11 | 2023-07-31T08:33:11 | CONTRIBUTOR | null | Introducing an ability to load an audi transcription document via OpenAI Whisper.
<!-- Thank you for contributing to LangChain!
Replace this comment with:
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- Issue: the issue # it fixes (if applicable),
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https://api.github.com/repos/langchain-ai/langchain/issues/8506 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8506/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8506/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8506/events | https://github.com/langchain-ai/langchain/issues/8506 | 1,828,562,645 | I_kwDOIPDwls5s_abV | 8,506 | DOC: why remove concepts.md from the latest document page | {
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I did not find this page on https://python.langchain.com/docs/get_started/introduction.html
I'm just wondering, what's the motive ？
### Idea or request for content:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8505 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8505/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8505/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8505/events | https://github.com/langchain-ai/langchain/issues/8505 | 1,828,539,383 | I_kwDOIPDwls5s_Uv3 | 8,505 | langchain/document_loaders/web_base.py | {
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... | closed | false | null | [] | null | 2 | 2023-07-31T07:02:32 | 2023-11-06T16:06:03 | 2023-11-06T16:06:02 | NONE | null | ### System Info
langchain/document_loaders/web_base.py > works for me only when i change:
```
return await response.text()
```
with:
```
body = await response.read()
return body.decode('utf-8', errors='ignore')
```
otherwise:
der Code produziert leider einen Fehler:
/home/codespace/.py
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"id":... | closed | false | null | [] | null | 0 | 2023-07-31T06:08:19 | 2023-07-31T06:14:31 | 2023-07-31T06:14:31 | NONE | null | I have a operation manual pdf file about a website and i want to use langchain let dolly can responed the question about the website
below is my code:
```
from langchain.embeddings import HuggingFaceEmbeddings
from PyPDF2 import PdfReader
from langchain.text_splitter import CharacterTextSplitter
from langchain.ve... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8502 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8502/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8502/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8502/events | https://github.com/langchain-ai/langchain/pull/8502 | 1,828,400,680 | PR_kwDOIPDwls5WwdoV | 8,502 | Async Recursive URL loader | {
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**Langchain**:0.0.247
**Python**:3.10.5
**System**: macOS 13.4 arm64
### Who can help?
@hwchase17
### Information
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- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
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LangChain 0.0.247, Python 3.11, Linux.
### Who can help?
@rlancemartin
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Note: The integration test uses a currently-experimental Streamlit testing framework to simulate the execution of a Streamlit app. Marking this PR as draft ... | {
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### Who can help?
@rlancemartin
File langchain/document_loaders/async_html.py:136--> results = asyncio.run(self.fetch_all(self.web_paths))
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- [ ] My own modified scripts
### Related Components
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I am getting "Agent stopped due to iteration limit or time limit" as the error , As my max_iteration is also 15 then too i am getting this error.
I need some particular output from the model.
Following is my code
agent_executor = AgentExecutor.from_agent_and_tools(agent=agent,
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In the LangChain Documentation and Comments, I've Noticed that `pip install faiss` was mentioned, instead of `pip install faiss-gpu`, since installing `pip install faiss` results in an error. I've gone ahead and updated the Documentation, and `faiss.ipynb`. This Change will ensure ease of use for the ... | {
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Resolves issue: https://github.com/langchain-ai/langchain/issues/8472
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... | closed | false | null | [] | null | 1 | 2023-07-30T10:27:39 | 2023-08-01T11:56:41 | 2023-08-01T11:56:40 | COLLABORATOR | null | - allow overriding run_type in on_chain_start
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