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... | closed | false | null | [] | null | 1 | 2023-07-05T07:19:18 | 2023-07-05T07:33:37 | 2023-07-05T07:33:37 | CONTRIBUTOR | null | ### Issue you'd like to raise.
## Problem descriptions
I've used `retrievalQA.from_chain_type()` with `refine` type to design a chatPDF.
But the response often **incomplete**, see the following result, the `Answer` is not complete which will let the `json.loads` not work.
Futhermore, I've used `get_openai_ca... | {
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... | closed | false | null | [] | null | 1 | 2023-07-05T06:57:23 | 2023-07-05T16:47:51 | 2023-07-05T16:47:50 | CONTRIBUTOR | null | - Description: rename the invalid function name of GoogleSerperResults Tool for OpenAIFunctionCall
- Tag maintainer: @hinthornw
When I use the GoogleSerperResults in OpenAIFunctionCall agent, the following error occurs:
```shell
openai.error.InvalidRequestError: 'Google Serrper Results JSON' does not match '^[a-z... | {
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```
# import
from langchain.embeddings.sentence_transformer import SentenceTransformerEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import Chroma
from langchain.document_loaders import TextLoader
# load the document and sp... | {
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<!-- 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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@baskaryan
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langchain = 0.0.220
python = 3.11.4
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] O... | {
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Schema -
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This pull request contains two commit:
**1. Implement delete interface with optional ids parameter on AnalyticDB.**
**2. Allow customization of database connection behavior by exposing engine_args parameter in interfaces.**
- This commit adds the `engine_args` parameter to the interfac... | {
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... | closed | false | null | [] | null | 7 | 2023-07-05T02:43:25 | 2023-10-16T09:45:05 | 2023-10-16T09:44:56 | NONE | null | ### System Info
Based on the official doc, I created two type of retriever:
1. `faiss_retriever = FAISS.from_documents(texts, OpenAIEmbeddings()).as_retriever()`serving as a`VectorStoreRetriever`(referenced from the API doc)
2. `compression_retriever = ContextualCompressionRetriever(base_compressor=relevant_filter, ... | {
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- add `headers`
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... | closed | false | null | [] | null | 3 | 2023-07-05T01:11:06 | 2023-10-12T16:07:06 | 2023-10-12T16:07:05 | NONE | null | ### Issue with current documentation:
https://python.langchain.com/docs/get_started/quickstart.html
On the above link, I have tried following along on google colab and ran into an issue as following:
Observation: Olivia Wilde started dating Harry Styles after ending her years-long engagement to Jason Sudeikis — se... | {
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## Description
LangChain support for knowledge graphs relying on W3C standards using RDFlib: SPARQL/ RDF(S)/ OWL with special focus on RDF \
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Issue: None open
Tag maintainer: @baskaryan | {
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I'd like to make the user experience more conversational while supporting OpenAI functions. However, OpenAIFunctionsAgent implementation doesn't accept "memory" to make it more conversational. I'd like to have ReACT planning capability + functions as tools. I think the minimal implementation is t... | {
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- Description: Replace `if var is not None:` with `if var:`, a concise and pythonic alternative
- Issue: N/A
- Dependencies: None
- Tag maintainer: Unsure
- Twitter handle: N/A | {
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... | closed | false | null | [] | null | 2 | 2023-07-04T18:56:27 | 2023-10-12T16:07:11 | 2023-10-12T16:07:10 | NONE | null | ### System Info
I'm using the following on Windows:
Python 3.11.3
langchain 0.0.222
lark 1.1.5
With a Pinecone index:
Environment: us-east4-gcp
Metric: cosine
Pod Type: p1.x1
Dimensions: 1536
### Who can help?
@hwchase17 @angola
### Information
- [X] The official example notebooks/scripts
- [ ] My o... | {
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- Issue: https://github.com/hwchase17/langchain/issues/6134,
- Dependencies: None,
- Tag maintainer: @rlancemartin, @eyurtsev,
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This will be merged as an update to `index.mdx` [here](https://python.langchain.com/docs/use_cases/question_answering/).
Testing w/ local Docusaurus server:
```
From `docs` directory:
mkdir _dist
cp -r {docs_skeleton,snippets} _dist
cp... | {
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Adding a callback handler for Context. Context is a product analytics platform for AI chat experiences to help you understand how users are interacting with your product.
I've added the callback library + an example notebook showing its use.
### Dependencies
Requires the user to install the ... | {
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Some vectorstores (e.g. Vectara) internally create their own embeddings. The request is to generalize the VectorStore base class to allow for embeddings to be optional.
### Motivation
Currently users have to send "None" or FakeEmbeddings instead, which creates additional work and is not ne... | {
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@hwchase17
<!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: a description of the change,
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I keep getting this error for the past couple of days for gpt-3.5-turbo-16k:
Timeout: Request timed out: HTTPSConnectionPool(host='api.openai.com', port=443): Read timed out. (read timeout=120.0)
The OpenAI API seems to be working fine by itself. Can someone please tell me if they ar... | {
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... | closed | false | null | [] | null | 1 | 2023-07-04T15:28:40 | 2023-07-04T22:15:26 | 2023-07-04T22:15:25 | CONTRIBUTOR | null | Cleaned title and reduced clutter for integration demo notebook for the Arthur callback handler | {
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... | closed | false | null | [] | null | 7 | 2023-07-04T14:22:38 | 2023-11-07T14:10:16 | 2023-11-07T14:10:07 | CONTRIBUTOR | null | ### System Info
- langchain-0.0.222 (and all before)
- Any GPT4All python package after [this commit](https://github.com/nomic-ai/gpt4all/commit/46a0762bd5a7e605e9bd63e4f435b482eff026f6#diff-cc3ea7dfbfc9837a4c42dae1089a1eda0ed175d17f2628cf16c13d3cd9da6e13R174) was merged. So latest: >= 1.0.1.
Note this issue is in... | {
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added missing req chromadb tiktoken
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https://api.github.com/repos/langchain-ai/langchain/issues/7142 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7142/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7142/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7142/events | https://github.com/langchain-ai/langchain/pull/7142 | 1,787,956,009 | PR_kwDOIPDwls5Unpe- | 7,142 | feat(SingleStoreVectorStore): change connection attributes in the database connection | {
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... | closed | false | null | [] | null | 1 | 2023-07-04T13:39:34 | 2023-07-06T08:05:47 | 2023-07-05T00:12:56 | CONTRIBUTOR | null | Minor change to the SingleStoreVectorStore:
Updated connection attributes names according to the SingleStoreDB recommendations
@rlancemartin, @eyurtsev
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... | open | false | null | [] | null | 11 | 2023-07-04T12:46:56 | 2024-01-08T08:00:05 | null | NONE | null | ### Feature request
Hi there 👋
Thanks a lot for the awesome library. The current implementation of `BaseCache` stores the prompt + the llm generated text as key.
This means that I am not really caching since I'll have to do a request to OpenAI to get the llm text
### Motivation
I'd like to cache a promp... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7139 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7139/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7139/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7139/events | https://github.com/langchain-ai/langchain/issues/7139 | 1,787,787,874 | I_kwDOIPDwls5qj3pi | 7,139 | H2O Wave callback integration | {
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I would love to add an [H2O Wave](https://wave.h2o.ai/) framework callback integration in a similar manner as done for [Streamlit](https://python.langchain.com/docs/modules/callbacks/integrations/streamlit). Wave has recently added a dedicated chatbot card, which seems like a perfect fit.
![imag... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7138 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7138/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7138/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7138/events | https://github.com/langchain-ai/langchain/pull/7138 | 1,787,776,702 | PR_kwDOIPDwls5UnCkh | 7,138 | Remove duplicate lines | {
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... | open | false | null | [] | null | 4 | 2023-07-04T11:02:11 | 2023-10-06T19:11:14 | null | NONE | null | ### Feature request
I am using the ConversationalRetrievalChain to retrieve answers for questions while condensing the chat history to a standalone question. However, the standalone question would show in the streaming output.
I expect only to return the final answer. Is there any way to achieve it?
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0.0.220
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
-... | {
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- Issue: #7126
- Dependencies: None
- Tag maintainer: @baskaryan
I can add more documentation on the Pinecone integration functions as I am going to go in great depth into this area. Just wanted to check with the maintainers is if ... | {
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When running multi_modal_output_agent:
field "steamship" not yet prepared so type is still a ForwardRef, you might need to call SteamshipImageGenerationTool.update_forward_refs().
Tag maintainer: @hinthornw
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In this PR, the HugeGraph and HugeGraphQAChain provide the same functionality as the existing integration with Ne... | {
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I installed "langchain==0.0.27" on a linux machine but i am getting the folowing error when i try to import langchain in a script. Was running this with python 3.7.
`/home/s0s06c3/lang/lang_env/bin/python /home/s0s06c3/lang/hugging_lanchain.py
Traceback (most recent call last):
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Retrying langchain.embeddings.openai.embed_with_retry.<locals>._embed_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-text-embedding-ada-002 in organization org-gvlyS3A1UcZNvf8Qch6TJZe3 on tokens per min. Limit: 150000 / min. Current: 1 / min. Contact us through ou... | {
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During the use of ChatOpenAI, it was found that even if langchain.llm_cache=True is set, the answer is different each time for the same question, such as "What is LangChain".
Upon tracing the source code, it was discovered that ChatOpenAI inherited BaseChatModel, which does not ... | {
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Improve Bing Search example:
https://python.langchain.com/docs/modules/agents/tools/integrations/bing_search
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I have been working on a side project using Pinecone and discovered that there are a bunch of useful Pinecone features in Langchain that are not mentioned in Langchain's documentation. [https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone]... | {
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- Embedding distance
- String distance
Also updates docs:
<img width="1106" alt="image" src="https://github.com/hwchase17/langchain/assets/13333726/0a1adbbc-f72a-46c9-8280-943cc1a00502">
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https://api.github.com/repos/langchain-ai/langchain/issues/7122 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7122/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7122/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7122/events | https://github.com/langchain-ai/langchain/pull/7122 | 1,787,226,553 | PR_kwDOIPDwls5UlLy8 | 7,122 | Add Agent Trajectory Interface | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7121 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7121/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7121/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7121/events | https://github.com/langchain-ai/langchain/issues/7121 | 1,787,208,532 | I_kwDOIPDwls5qhqNU | 7,121 | ConversationalBufferMemory is not working with my Data | {
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... | closed | false | null | [] | null | 1 | 2023-07-04T06:02:36 | 2023-10-12T16:07:37 | 2023-10-12T16:07:36 | NONE | null | ### Issue you'd like to raise.
Here is my code where i use Faiss for vectorestore but it is not capable to giving a response from my pdf data where i am doing wrong please correct me.
def chat_bot_langchain():
from langchain.llms import OpenAI
index = faiss.read_index("faisss_audien_new.index")
print(i... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7120 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7120/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7120/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7120/events | https://github.com/langchain-ai/langchain/pull/7120 | 1,787,206,864 | PR_kwDOIPDwls5UlHqU | 7,120 | support adding custom metadata to runs | {
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... | closed | false | null | [] | null | 1 | 2023-07-04T06:00:47 | 2023-07-05T18:11:40 | 2023-07-05T18:11:39 | COLLABORATOR | null | - [x] wire up tools
- [x] wire up retrievers
- [x] add integration test
<!-- Thank you for contributing to LangChain!
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https://api.github.com/repos/langchain-ai/langchain/issues/7119 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7119/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7119/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7119/events | https://github.com/langchain-ai/langchain/issues/7119 | 1,787,076,435 | I_kwDOIPDwls5qhJ9T | 7,119 | Issue: from_documents error | {
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... | closed | false | null | [] | null | 2 | 2023-07-04T03:25:31 | 2023-10-12T16:07:42 | 2023-10-12T16:07:41 | NONE | null | ### Issue you'd like to raise.
Getting AttributeError when using chroma.from_documents
my code: db = chroma.from_documents(texts, embeddings, persist_directory=persist_directory,
client_settings=CHROMA_SETTINGS)
AttributeError: module 'langchain.vectorstores.chroma' has no attribute 'from_documents
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https://api.github.com/repos/langchain-ai/langchain/issues/7118 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7118/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7118/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7118/events | https://github.com/langchain-ai/langchain/pull/7118 | 1,787,025,353 | PR_kwDOIPDwls5Ukhix | 7,118 | in ElasticKnnSearch added back create_index, add_texts, from_texts | {
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... | closed | false | null | [] | null | 4 | 2023-07-04T02:10:58 | 2023-07-24T14:25:44 | 2023-07-24T14:25:42 | CONTRIBUTOR | null | Fixes:
https://github.com/hwchase17/langchain/issues/7117
https://github.com/hwchase17/langchain/issues/5760
Adding back `create_index` , `add_texts`, `from_texts` to ElasticKnnSearch
`from_texts` matches standard `from_texts` methods as quick start up method
`knn_search` and `hybrid_result` return a list ... | {
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... | closed | false | null | [] | null | 1 | 2023-07-04T01:52:06 | 2023-07-28T05:00:22 | 2023-07-28T05:00:22 | CONTRIBUTOR | null | ### System Info
`from_texts` in `ElasticKnnSearch` is not creating a new index.
`add_texts` is not creating the correct mapping.
There were class instances of both these methods at one point, but they [got removed accidentally](https://github.com/hwchase17/langchain/pull/5569/commits/98f5038b1a6a6ee6f3108f95b274... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7116 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7116/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7116/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7116/events | https://github.com/langchain-ai/langchain/issues/7116 | 1,787,000,606 | I_kwDOIPDwls5qg3ce | 7,116 | The agent run output parser cause error when run a simple quick start | {
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... | closed | false | null | [] | null | 1 | 2023-07-04T01:32:55 | 2023-07-04T02:38:26 | 2023-07-04T02:38:26 | NONE | null | ### System Info
Langchain: 0.0.222
OS: Windows 11+WSL Ubuntu22
I run a simple test according to the agent document guide page:
https://python.langchain.com/docs/modules/agents/
I just changed the input a little bit, it throw an error about the output parser.
The code is below:
=========================
ll... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7115 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7115/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7115/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7115/events | https://github.com/langchain-ai/langchain/pull/7115 | 1,786,966,448 | PR_kwDOIPDwls5UkVSc | 7,115 | Add better warnings when ref or inputs are passed but not used | {
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Other options we could do:
- Separate classes for criteria with references and comparisons with references - I don't love this because all t... | {
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Class method is missing self.
<!-- Thank you for contributing to LangChain!
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- Description: Adding JSONL Document Loader just like TS port of Langchain
- Issue: #6973
@rlancemartin, @eyurtsev
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... | closed | false | null | [] | null | 1 | 2023-07-03T21:11:43 | 2023-07-08T02:58:01 | 2023-07-08T02:57:59 | COLLABORATOR | null | Current problems:
1. Evaluating LLMs or Chat models isn't smooth. Even specifying 'generations' as the output inserts a redundant list into the eval template
2. Configuring input / prediction / reference keys in the `get_qa_evaluator` function is confusing. Unless you are using a chain with the default keys, you have... | {
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When I run the command
```bash
make coverage
```
I get the following error:
```bash
collected 1556 items / 9 errors
INTERNALERROR> Tra... | {
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Replace this comment with:
- Description: super small fix that makes the Chroma vectorstore object more compatible with the chroma library.
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Twitter: @trulensml
For review:
- Tracing: @agola11
- Tools: @hinthornw | {
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Replace this comment with:
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```
$ from langchain.llms import GPT4All
$ model = GPT4All(model=local_path)
$ model("The capital of France is ", max_tokens=10)
TypeError: generate() got an unexpected keyword argument '... | {
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- Issue: #7091
- Dependencies: N/A
- Tag maintainer: @hwchase17, @dev2049
- Twitter handle: gene_wu
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... | closed | false | null | [] | null | 1 | 2023-07-03T18:03:36 | 2023-07-03T23:57:09 | 2023-07-03T23:57:09 | CONTRIBUTOR | null | ### Issue with current documentation:
The current document didn't cover the Metal support of Llama-cpp, which need different parameter to build.
Also, the default parameter of initial LLM will crash error:
```
GGML_ASSERT: .../vendor/llama.cpp/ggml-metal.m:706: false && "not implemented"
```
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Replace this comment with:
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... | closed | false | null | [] | null | 6 | 2023-07-03T16:22:38 | 2023-11-10T23:34:33 | 2023-11-10T23:34:32 | CONTRIBUTOR | null | ## Description
[EggTimer](https://pypi.org/project/egg-timer/) is a simple Python library that makes handling timeouts easier. Instead of tracking time elapsed, start times, and performing calculations, using EggTimer is a simple as `timer = EggTimer(); timer.set(TIMEOUT)`. Timeout can be checked by calling `timer.i... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7085 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7085/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7085/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7085/events | https://github.com/langchain-ai/langchain/pull/7085 | 1,786,394,718 | PR_kwDOIPDwls5Uiahe | 7,085 | Remove `None` default value for FAISS relevance_score_fn | {
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The type hint for `FAISS.__init__()`'s `relevance_score_fn` parameter allowed the parameter to be set to `None`. However, a default function is provided by the constructor. This led to an unnecessary check in the code, as well as a test to verify this check.
**ASSUMPTION**: There's no reason to eve... | {
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This PR adds a `relevance_score_fn` to `Chroma.__init__()` that allows developers to pass in a custom function to map relevance scores to [0,1]. This code follows the pattern set by `FAISS`.
Other changes made:
- `Chroma.from_{documents,texts}()` pass `kwargs` through to the constructor
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When trying to do an aggregation on a table (I've tried average, min, max), two duplicate queries are being generated, resulting in an error
```
syntax error line 2 at position 0 unexpected 'SELECT'.
[SQL: SELECT AVG(YEAR) FROM my_table
SELECT AVG(YEAR) FROM my_table]
```
### Who can help?
_No... | {
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... | closed | false | null | [] | null | 7 | 2023-07-03T12:23:47 | 2023-07-04T10:01:18 | 2023-07-04T10:01:17 | NONE | null | ### System Info
LangChain: 0.0.221
Python: 3.9.17.
OS: MacOS Ventura 13.3.1 (a)
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Pro... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7078 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7078/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7078/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7078/events | https://github.com/langchain-ai/langchain/issues/7078 | 1,786,027,453 | I_kwDOIPDwls5qdJ29 | 7,078 | Serialization of OpenLLM Local Inference Models does not work. | {
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- Langchain Version 0.0.219
## Where does the problem arise:
When saving the OpenLLM model, there is a key called "llm_kwargs" which cannot be parsed when reloading the model. Instead the "llm_kwargs" should be directly inside the "llm" object without the key "llm_kwargs".
### Example
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"llm... | {
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Issue: #7034
@rlancemartin , @eyurtsev | {
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I am trying to develop a chatbot that can give answers from multiple namespace.That why I am try to use the MULTIRETREIVALQA chain but the langchain versions seems to be making some issues for me . Any suggestions?
### Suggestion:
_No response_ | {
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The OpenAI "embeddings" API intermittently falls into a failure state where an embedding is returned as [ Nan ], rather than the expected 1536 floats. This patch checks for that state (specifically, for an embedding of length 1) and if it occurs, throws an ApiError, which will cause the chunk to be ret... | {
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"url... | closed | false | null | [] | null | 1 | 2023-07-03T08:14:21 | 2023-07-06T00:51:11 | 2023-07-06T00:51:10 | CONTRIBUTOR | null | - Description: Fetch all pages concurrently.
- Dependencies: `scrape_all` -> `fetch_all` -> `_fetch_with_rate_limit` -> `_fetch` (might be broken currently: https://github.com/hwchase17/langchain/pull/6519)
- Tag maintainer: @rlancemartin, @eyurtsev | {
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