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https://api.github.com/repos/langchain-ai/langchain/issues/7281 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7281/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7281/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7281/events | https://github.com/langchain-ai/langchain/pull/7281 | 1,791,756,774 | PR_kwDOIPDwls5U0lXj | 7,281 | Allow passing api key into OpenAIWhisperParser | {
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... | closed | false | null | [] | null | 3 | 2023-07-06T15:12:26 | 2023-07-10T23:38:00 | 2023-07-07T19:07:46 | CONTRIBUTOR | null | This just allows the user to pass in an api_key directly into OpenAIWhisperParser. Very simple addition.
@rlancemartin
@eyurtsev | {
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It would be nice to have a similar function as `get_openai_callback()` for VertexAI. This actually gives the input tokens, output tokens and cost of using OpenAI models:
```python
with get_openai_callback() as cb:
llm = OpenAI(temperature=0)
chat = ChatOpenAI(temperature=0)
emb =... | {
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... | closed | false | null | [] | null | 4 | 2023-07-06T14:31:37 | 2023-07-08T01:39:07 | 2023-07-08T01:39:06 | COLLABORATOR | null | <!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below)... | {
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# Description:
This chain returns the selected documents used for the response. Then, it's possible to extract all meta-data
for these documents, to generate a markdown link or other stuff.
It's not easy to manage the links of sources. Langchain proposed a qa_with_source, but this chain returns only a
list of ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7277 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7277/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7277/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7277/events | https://github.com/langchain-ai/langchain/issues/7277 | 1,791,621,321 | I_kwDOIPDwls5qyfjJ | 7,277 | Allow filter to be passed in ElasticKnnSearch knn_search and knn_hybrid_search | {
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... | closed | false | null | [] | null | 1 | 2023-07-06T13:56:39 | 2023-09-20T14:35:44 | 2023-09-20T14:35:43 | NONE | null | You can pass filter to an kNN in elasticsearch.
This is currently implemented in the langchain wrapper in the exact KNN search.
But is not yet implemented in the approximate KNN search.
Add filter param to [_default_knn_query](https://github.com/jeffvestal/langchain/blob/10f34bf62e2d53f0b1a7b15ba21c2328b64862cd/la... | {
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Fixed `make docs_build` and related scripts which caused errors. There are several changes.
First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make ... | {
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The **double quatations (")** which cannot use `parser.parse()` correctly.
For example, completion from chain response as following:
```python
text = """
Answer: {
"product_name": "Control4® T3 Series 7\" Tabletop Touch Screen",
"manufactured_date": "2015-10-09",
"size_inch": "7.0\" × 5.1... | {
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This adds support for Apache SOLRs vector search capabilities
(https://solr.apache.org/guide/solr/latest/query-guide/dense-vector-search.html)
### Motivation
As SOLR is a commonly used search index and now offers this feature, it is important to allow SOLR users to be able to integrate seamlessl... | {
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LangChain v0.0.225, Windows10, Python 3.10
### Who can help?
_No response_
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- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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refactor BedrockEmbeddings class to clean code as below:
1. inline content type and accept
2. rewrite input_body as a dictionary literal
3. no need to declare embeddings variable, so remove it
#### Tag maintainer
- General / Misc / if you don't know who to tag: @baskaryan
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@baskaryan
<!-- Thank you for contributing to LangChain!
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LangChain v0.0.225, Windows, Python 3.10
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@hwchase17
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Fixed to the official service name Amazon Kendra.
## Tag maintainer
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Error: Please install chromadb as a dependency with, e.g. `npm install -S chromadb`
at Function.imports (file:///home/aqib/backend-11/vision/node_modules/langchain/dist/vectorstores/chroma.js:160:19)
at processTicksAndRejections (node:internal/process/task_queues:96:5)
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I'm using the `OpenAIEmbeddings` object to create embeddings for my list of documents. While it expects a list of strings, the `embed_documents` function seems misleading as to accept a list of documents. As a result, passing a list of documents raises `AttributeError` since `Document` o... | {
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In the following page, "Wikipedia" tool is explained.
https://python.langchain.com/docs/modules/agents/tools/integrations/wikipedia
However, the WikipediaAPIWrapper being used is not a tool. This PR updated the documentation to use a tool WikipediaQueryRun.
**Issue**
None
**Tag maintainer**
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- Issue: https://github.com/hwchase17/langchain/issues/6743, https://github.com/hwchase17/langchain/issues/7179
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when i run the agent with question "how much can i borrow in state CA?" , it is directly calling function without asking age and income from the user .
below is the error... | {
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LangChain 0.0.225, Python 3.10, Windows
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selector... | {
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**Description:**
This pull request adds a 'verbose' parameter to the llamacpp module. The 'verbose' parameter, when set to True, will enable the output of detailed logs during the execution of the Llama model. This added parameter can aid in debugging and understanding ... | {
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... | closed | false | null | [] | null | 2 | 2023-07-06T04:19:04 | 2023-10-14T20:11:12 | 2023-10-14T20:11:12 | NONE | null | ### Feature request
how to disable the OpenAI initialization when you're not using an OpenAI model.
[Please check this issue](https://github.com/hwchase17/langchain/issues/7189#issuecomment-1621931461)
### Motivation
I am trying to build a VectorstoreIndexCreator using the following configuration
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langchain : 0.0.223
os: mac Ventura 13.4.1 max
python: 3.11.3
### Who can help?
_No response_
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- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
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- [ ] LLMs/Chat Models
- [ ] Embedding Models
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... | closed | false | null | [] | null | 1 | 2023-07-06T02:46:49 | 2023-07-06T14:00:26 | 2023-07-06T14:00:25 | COLLABORATOR | null | Use the trajectory eval chain in the run evaluation implementation and update the prepare inputs method to apply to both asynca nd sync | {
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- Issue: #7246
- Dependencies: N/A
- Tag maintainer: @hwchase17, @baskaryan
- Twitter handle: N/A | {
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Add `show_progress_bar` within `OpenAIEmbeddings` class.
### Motivation
Simply speaking,
1. Showing progress bar within existing progress bar is generally not a good practice. Most of time it will break.
2. There might be people who want to keep their console quiet.
### Your contribution
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A continuation of #7126,
Pinecone features in Langchain that are not mentioned in Langchain's documentation. https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone
### Idea or request for content:
Add documentation for the other Pinecone ... | {
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Langchain Version: 0.0.224
Platform: Mac
Python Version: 3.10.9
### Who can help?
_No response_
### Information
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- [ ] My own modified scripts
### Related Components
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- Description: reduce.py reduce chain implementation's acombine_docs call does not propagate token_max. Without this, the async call will end up using 3000 tokens, the default, for the collapse chain.
- Tag maintainer: @hwchase17 @agola11 @baskaryan
- Twitter handle: https://twitter... | {
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Include source document index information in the combine document chain prompt. For example in `_get_inputs` of `StuffDocumentChain` we could make the following change (in addition to corresponding changes to `format_document`):
```
# From
doc_strings = [format_document(doc, self.document_prom... | {
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... | closed | false | null | [] | null | 1 | 2023-07-05T22:04:17 | 2023-07-06T00:45:02 | 2023-07-06T00:45:02 | CONTRIBUTOR | null | Description: `flan-t5-xl` hangs, updated to `flan-t5-xxl`. Tested all stabilityai LLMs- all hang so removed from tutorial. Temperature > 0 to prevent unintended determinism.
Issue: #3275
Tag maintainer: @baskaryan | {
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... | closed | false | null | [] | null | 1 | 2023-07-05T21:57:48 | 2023-07-05T23:35:21 | 2023-07-05T23:35:20 | COLLABORATOR | null | Cut down on errors logged | {
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... | closed | false | null | [] | null | 3 | 2023-07-05T21:34:04 | 2023-07-05T22:34:40 | 2023-07-05T22:34:39 | CONTRIBUTOR | null | In the latest version of Anthropic-python-sdk - the api_url variable in the anthropic.Client has been updated to base_url variable. But if we access the same using langchain - it results in an error as explained in the - #6400 . In this pull request, I have updated the variable, which helps us to stay upto mark with An... | {
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... | closed | false | null | [] | null | 2 | 2023-07-05T21:31:57 | 2023-10-12T16:06:26 | 2023-10-12T16:06:25 | NONE | null | ### System Info
langchain: '0.0.218'
windows 10
### Who can help?
@dev2049 @homanp
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Pars... | {
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- Issue: None
- Dependencies: None
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- added a link to new `Deeplearning AI` course on LangChain
- added links to other tutorial videos
- fixed format
@baskaryan, @hwchase17
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The motivation behind is to facilitate the user to set a maximum number of actions the agent can take with `max_iterations` and force a final response with this new agent (as with the `A... | {
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Still new here so I mimicked the setup of `llm/llamacpp.py` wrapper for the draft of Salesforce's new LLM [XGen](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/91).
### Motivation
Expand the LLM sets integrated in Langchain.
### Your contribution
PR #7221 | {
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Updates the docstrings for the unstructured base loaders so more useful information appears on the integrations page. If these look good, will add similar docstrings to the other loaders.
### Reviewers
- @rlancemartin
- @eyurtsev
- @hwchase17 | {
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Issue: the issue # it fixes (if applicable),
Dependencies: transformers
Tag maintainer: @hwchase17 @baskaryan
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Hi I found myself having to do a "hack" when using MultiPromptChain.
In particular when ny destination chains take more than one parameter into the template at runtime for example "{current"_timestamp}"
I was getting the following exception
```
File "/home/xxx/venv/lib/python3.10... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7218 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7218/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7218/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7218/events | https://github.com/langchain-ai/langchain/pull/7218 | 1,790,096,009 | PR_kwDOIPDwls5Uu6Z3 | 7,218 | added template repo for CI/CD deployment on Google Cloud Run | {
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- Description: added documentation for a template repo that helps dockerizing and deploying a LangChain using a Cloud Build CI/CD pipeline to Google Cloud build serverless
- Issue: None,
- Dependencies: None,
- Tag maintainer: @baskaryan,
- Twitter handle: EdenEmarco177
If y... | {
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... | closed | false | null | [] | null | 1 | 2023-07-05T18:45:48 | 2023-07-10T08:52:37 | 2023-07-10T08:52:37 | CONTRIBUTOR | null | ### Feature request
Add retry policy to VertexAI models.
### Motivation
E.g., when trying to run a summarization chain on many chunks (I reproduce the error with 99 chunks), an exception `ResourceExhausted: 429 Quota exceeded` might be returned by Vertex.
### Your contribution
yes, I'll submit a PR shortly. | {
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Description:
Updating the docstrings for Milvus and Zilliz so that they appear correctly on https://integrations.langchain.com/vectorstores. No changes done to code.
Maintainer:
@baskaryan
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More of a clarification than an issue. In the javascript documentation, it describes the Document interface. https://js.langchain.com/docs/modules/schema/document. Does an equivalent thing exist in the Python version. When I try 'from langchain.document import Document` in pytho... | {
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- Issue: The old sceneXplain API endpoint: "https://us-central1-causal-diffusion.cloudfunctions.net/describe" is deprecated and now returns 500 internal error codes.
- Dependencies: N/A
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Most of this PR is actually https://github.com/hwchase17/langchain/pull/7207 but I can't diff off two separate PRs | {
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Simple fix to prevent a "TypeError: keywords must be strings" error I encountered in my use case.
@baskaryan
Thanks! Hope useful! | {
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There seem to be some hallucinations involving the president and Michael Jackson.
I use the following, where `data` is loaded using `UnstructuredURLLoader(urls).load()` and `urls` is just a list of URLs I'm interested in. Needless to say that none of the URLs involve Michael Jackson (or the preside... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7196 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7196/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7196/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7196/events | https://github.com/langchain-ai/langchain/pull/7196 | 1,789,429,006 | PR_kwDOIPDwls5Usow3 | 7,196 | add preset ability to textgen llm | {
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@hwchase17, @baskaryan
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https://api.github.com/repos/langchain-ai/langchain/issues/7195 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7195/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7195/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7195/events | https://github.com/langchain-ai/langchain/pull/7195 | 1,789,422,146 | PR_kwDOIPDwls5UsnRW | 7,195 | Fixed the confluence loader ".csv" files loading issue | {
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- Dependencies: pand... | {
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Replace this comment with:
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- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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https://api.github.com/repos/langchain-ai/langchain/issues/7193 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7193/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7193/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7193/events | https://github.com/langchain-ai/langchain/issues/7193 | 1,789,401,709 | I_kwDOIPDwls5qqBpt | 7,193 | ConversationalRetrievalChain return only the prompt not the answer | {
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... | closed | false | null | [] | null | 4 | 2023-07-05T11:58:18 | 2023-11-20T16:06:21 | 2023-11-20T16:06:21 | NONE | null | ### System Info
**Python : Python 3.9.13
Langchain: langchain==0.0.219
OS : Ubuntu**
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / P... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7192 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7192/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7192/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7192/events | https://github.com/langchain-ai/langchain/issues/7192 | 1,789,340,428 | I_kwDOIPDwls5qpysM | 7,192 | kwargs are forgot to send to huggingface pipeline call | {
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... | closed | false | null | [] | null | 3 | 2023-07-05T11:18:41 | 2023-12-19T00:50:02 | 2023-12-19T00:50:02 | NONE | null | https://github.com/hwchase17/langchain/blob/e27ba9d92bd2cc4ac9ed7439becb2d32816fc89c/langchain/llms/huggingface_pipeline.py#L169
should modified to
#response = self.pipeline(prompt)
response = self.pipeline(prompt, **kwargs) | {
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... | closed | false | null | [] | null | 3 | 2023-07-05T10:53:22 | 2023-10-12T16:06:36 | 2023-10-12T16:06:35 | NONE | null | ### Issue you'd like to raise.
When using AgentType.OPENAI_FUNCTIONS, the error message "openai.error.InvalidRequestError: 'Gmail: Find Email' does not match '^[a-zA-Z0-9_-]{1,64}$' - '[functions.6.name](http://functions.6.name/)'" suggests that the name you are using for the function ('Gmail: Find Email') does not ad... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7190 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7190/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7190/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7190/events | https://github.com/langchain-ai/langchain/issues/7190 | 1,789,293,722 | I_kwDOIPDwls5qpnSa | 7,190 | Issue: Missing some input keys: {'question'} when using ConversationalRetrievalChain | {
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... | closed | false | null | [] | null | 3 | 2023-07-05T10:50:07 | 2023-10-18T10:09:39 | 2023-07-06T13:05:01 | NONE | null | ### Issue you'd like to raise.
I have written a code to add the memory to ConversationalRetrievalChain but I am getting an error **"Missing some input keys: {'question'}"**. Below is the snippet of my code
memory = ConversationBufferMemory(
memory_key="chat_history",
input_key=... | {
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... | closed | false | null | [] | null | 7 | 2023-07-05T10:43:47 | 2023-12-06T04:31:44 | 2023-10-30T16:06:08 | NONE | null | ### System Info
I am trying to build a **VectorstoreIndexCreator** using the following configuration
embeddings= **SentenceTransformerEmbeddings** embeddings
vectorstore_cls = **Chroma**
llm = **HuggingfaceHub** Model
Note: I am not using any **openai** model as **llm** or **embedding** purpose
here is the... | {
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... | closed | false | null | [] | null | 2 | 2023-07-05T10:33:28 | 2023-10-12T16:06:41 | 2023-10-12T16:06:40 | NONE | null | ### System Info
Python 3.11.4
duckdb==0.8.1
chromadb==0.3.26
langchain==0.0.221
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / P... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7187 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7187/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7187/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7187/events | https://github.com/langchain-ai/langchain/issues/7187 | 1,789,229,545 | I_kwDOIPDwls5qpXnp | 7,187 | DOC: https://python.langchain.com/docs/modules/model_io/models/llms/integrations/sagemaker | {
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... | open | false | null | [] | null | 3 | 2023-07-05T10:10:48 | 2023-10-09T09:18:13 | null | NONE | null | ### Issue with current documentation:
https://python.langchain.com/docs/modules/model_io/models/llms/integrations/sagemaker
This example is not working. I've just copy pasted the code from here and ran it in my notebook instance. I'm using falcon-40b-instruct model.
The error I'm getting is as follows
Error ra... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7186 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7186/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7186/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7186/events | https://github.com/langchain-ai/langchain/pull/7186 | 1,789,214,352 | PR_kwDOIPDwls5Ur6F9 | 7,186 | make textstat optional in the flyte callback handler | {
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... | closed | false | null | [] | null | 1 | 2023-07-05T10:02:26 | 2023-07-05T17:15:57 | 2023-07-05T17:15:56 | CONTRIBUTOR | null | <!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below)... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7185 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7185/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7185/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7185/events | https://github.com/langchain-ai/langchain/pull/7185 | 1,789,198,867 | PR_kwDOIPDwls5Ur2ui | 7,185 | optimize pgvector `add_texts` | {
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"followers_url": "https:... | null | 2 | 2023-07-05T09:54:00 | 2023-07-06T08:15:19 | 2023-07-05T20:19:42 | CONTRIBUTOR | null | - Description: At the moment, inserting new embeddings to pgvector is querying all embeddings every time as the defined `embeddings` relationship is using the default params, which sets `lazy="select"`. This change drastically improves the performance and adds a few additional cleanups:
* remove `collection.embeddin... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7184 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7184/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7184/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7184/events | https://github.com/langchain-ai/langchain/issues/7184 | 1,789,191,768 | I_kwDOIPDwls5qpOZY | 7,184 | Issue: RetrievalQAWithSourcesChain gives error 'too many values to unpack (expected 2)' after running. | {
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... | closed | false | null | [] | null | 2 | 2023-07-05T09:49:42 | 2023-08-16T20:30:16 | 2023-08-16T20:30:16 | NONE | null | Hello,
I'm using _langchain_ for QA with court case documents. More specifically, the RetrievalQAWithSourcesChain to retrieve the answer and document source information. However, when running the chain with embedded documents, I get the following error:
```
ValueError: too many values to unpack (expected 2)
Tra... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7183 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7183/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7183/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7183/events | https://github.com/langchain-ai/langchain/pull/7183 | 1,789,126,857 | PR_kwDOIPDwls5UrnI2 | 7,183 | Add docs for setting MapReduceChain token_max arg | {
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- Issue: Several issues have been repeatedly raised regarding this, since it is non-intuitive how to pass this arg. This makes usage with larger models such as gpt-3.5-turbo-16k much easier. I also explain how it's a sliding scale betw... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7182 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7182/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7182/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7182/events | https://github.com/langchain-ai/langchain/issues/7182 | 1,789,125,219 | I_kwDOIPDwls5qo-Jj | 7,182 | does llms.AzureOpenAI support gpt4 or gpt-32k? | {
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... | closed | false | null | [] | null | 2 | 2023-07-05T09:13:02 | 2023-10-12T16:06:46 | 2023-10-12T16:06:45 | NONE | null | ### System Info
llm = AzureOpenAI(
model_name="gpt-4-32k",
engine="gpt-4-32k"
)
llm("tell me a joke")
Exception:
The completion operation does not works with the specific model, gpt-4-32k, pls choose different model....
Environment:
LangChain:0.0.218
### Who can help?
_No response_
### Information
- [ ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7181 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7181/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7181/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7181/events | https://github.com/langchain-ai/langchain/issues/7181 | 1,789,052,195 | I_kwDOIPDwls5qosUj | 7,181 | SentenceTransformersTokenTextSplitter Doesn't Preserve Text | {
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... | closed | false | null | [] | null | 4 | 2023-07-05T08:29:31 | 2023-10-12T16:06:51 | 2023-10-12T16:06:50 | NONE | null | ### System Info
```
from langchain.text_splitter import SentenceTransformersTokenTextSplitter
splitter = SentenceTransformersTokenTextSplitter(
tokens_per_chunk=64,
chunk_overlap=0,
model_name='intfloat/e5-base-v2',
add_start_index=True,
)
text = "- afrikaans\n- العربية\n- azərbaycanca\n- বাংলা... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7180 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7180/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7180/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7180/events | https://github.com/langchain-ai/langchain/pull/7180 | 1,789,031,100 | PR_kwDOIPDwls5UrSpr | 7,180 | fix: prevent adding an empty string to the result queue in AsyncIteratorCallbackHandler | {
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"url... | closed | false | null | [] | null | 1 | 2023-07-05T08:17:18 | 2023-07-05T17:00:36 | 2023-07-05T17:00:35 | CONTRIBUTOR | null | - Description: Modify the code for AsyncIteratorCallbackHandler.on_llm_new_token to ensure that it does not add an empty string to the result queue.
- Tag maintainer: @agola11
When using AsyncIteratorCallbackHandler with OpenAIFunctionsAgent, if the LLM response function_call instead of direct answer, the AsyncIter... | {
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... | closed | false | null | [] | null | 4 | 2023-07-05T07:44:06 | 2023-10-25T16:07:47 | 2023-10-25T16:07:46 | NONE | null | ### System Info
Langchain version: 0.0.221
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ]... | {
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