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"id":... | open | false | null | [] | null | 1 | 2024-01-18T05:22:40 | 2024-01-18T05:32:44 | null | NONE | null | ### Issue with current documentation:
import os
import qdrant_client
from dotenv import load_dotenv
from langchain.chains import RetrievalQA
from langchain.embeddings.huggingface import HuggingFaceInstructEmbeddings
from langchain.llms import OpenAI
from langchain.vectorstores import Qdrant
os.environ['OPENAI... | {
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- **Issue:** No,
- **Dependencies:** No,
- **Twitter handle:** No
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Decreased dependency on `runnables` | {
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"id": 56... | open | false | null | [] | null | 1 | 2024-01-18T03:34:34 | 2024-01-18T03:41:01 | null | NONE | null | Hi, I'm from the LanceDB team.
Improves LanceDB integration by making it easier to use - now you aren't required to create tables manually and pass them in the constructor, although that is still backward compatible.
Bug fix - pandas was being used even though it's not a dependency for LanceDB or langchain
PS ... | {
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"node_id... | open | false | null | [] | null | 1 | 2024-01-18T02:54:59 | 2024-01-18T03:57:12 | null | COLLABORATOR | null | This PR adds `astream_events` method to Runnables to make it easier to stream data from arbitrary chains.
* Streaming only works properly in async right now
* One should use `astream()` with if mixing in imperative code as might be done with tool implementations
* Astream_log has been modified with minimal additi... | {
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... | open | false | null | [] | null | 1 | 2024-01-18T02:20:45 | 2024-01-18T02:27:02 | null | NONE | null | **Description** : New documents loader for visio files (with extension .vsdx)
A [visio file](https://fr.wikipedia.org/wiki/Microsoft_Visio) (with extension .vsdx) is associated with Microsoft Visio, a diagram creation software. It stores information about the structure, layout, and graphical elements of a diagram. T... | {
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- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
none
### Description
In the HOME directory of the langchain sourc... | {
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Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified.
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixe... | {
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- [X] I added a very descriptive title to this issue.
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- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
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- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
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https://api.github.com/repos/langchain-ai/langchain/issues/16149 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16149/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16149/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16149/events | https://github.com/langchain-ai/langchain/pull/16149 | 2,086,455,919 | PR_kwDOIPDwls5kU70D | 16,149 | Update gradient.ipynb | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16148 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16148/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16148/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16148/events | https://github.com/langchain-ai/langchain/pull/16148 | 2,086,451,849 | PR_kwDOIPDwls5kU6_j | 16,148 | langchain_community.vectorstores: Issue #16146. Fix: Missing unpack operator for or_clause in pgvector document filter | {
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- Adding unpack operation to "or" and "and" filter for pgvector retriever. # | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16145 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16145/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16145/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16145/events | https://github.com/langchain-ai/langchain/issues/16145 | 2,086,351,099 | I_kwDOIPDwls58WzD7 | 16,145 | DOC: No documentation about QAGenerationChain in langchain.evaluation.qa | {
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This is no documentation about QAGenerationChain in langchain.evaluation.qa
I used `from langchain.evaluation.qa import QAGenerateChain` to run evaluation using LLM-generated examples.
I tried to find documentation regarding the QAGenerateChain and found none.
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- **Issue:** N/A
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https://api.github.com/repos/langchain-ai/langchain/issues/16140 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16140/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16140/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16140/events | https://github.com/langchain-ai/langchain/issues/16140 | 2,086,101,220 | I_kwDOIPDwls58V2Dk | 16,140 | i want to add OutputFixingParser in LCEL chain | {
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like
from langchain.output_parsers import OutputFixingParser
fix_parser = OutputFixingParser.from_llm(llm, parser)
chain= chat_template | llm | parser |fix_parser
### Motivation
I think OutputFixing should be in the process of generating content in a specific format.
### Your contributio... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16138 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16138/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16138/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16138/events | https://github.com/langchain-ai/langchain/pull/16138 | 2,086,064,746 | PR_kwDOIPDwls5kTnbU | 16,138 | Add neo4j timeout and value sanitization option | {
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"url... | closed | false | null | [] | null | 1 | 2024-01-17T12:14:07 | 2024-01-17T21:22:20 | 2024-01-17T21:22:20 | CONTRIBUTOR | null | The timeout function comes in handy when you want to kill longrunning queries.
The value sanitization removes all lists that are larger than 128 elements. The idea here is to remove embedding properties from results. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16137 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16137/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16137/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16137/events | https://github.com/langchain-ai/langchain/pull/16137 | 2,086,014,320 | PR_kwDOIPDwls5kTcfg | 16,137 | Use dotenv in langchain-community's integration tests | {
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... | closed | false | null | [] | null | 1 | 2024-01-17T11:43:43 | 2024-01-18T02:18:27 | 2024-01-18T02:18:26 | CONTRIBUTOR | null | * Removed some env vars not used in langchain package IT
* Added Astra DB env vars in langchain package, used for cache tests
* Added conftest.py to load env vars in langchain_community IT
* Added .env.example in langchain_community IT
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https://api.github.com/repos/langchain-ai/langchain/issues/16136 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16136/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16136/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16136/events | https://github.com/langchain-ai/langchain/issues/16136 | 2,085,909,062 | I_kwDOIPDwls58VHJG | 16,136 | Return Source Documents in LECL | {
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"id": 56... | open | false | null | [] | null | 3 | 2024-01-17T10:43:29 | 2024-01-17T11:37:29 | null | NONE | null | ### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
The chain is defined as:
```python
retriever_chain = create_retri... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16135 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16135/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16135/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16135/events | https://github.com/langchain-ai/langchain/issues/16135 | 2,085,861,615 | I_kwDOIPDwls58U7jv | 16,135 | ElasticsearchStore does not accept proxy | {
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"id": 56... | open | false | null | [] | null | 1 | 2024-01-17T10:17:26 | 2024-01-17T10:19:47 | null | NONE | null | ### Feature request
We should be able to pass some extra parameters to `ElasticsearchStore` in form of kwargs or predefined parameters.
For example, to allow usage of `RequestsHttpNode` that takes `https_proxy` / `http_proxy` / `no_proxy` env variables.
### Motivation
In some cases, all the external calls t... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16134 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16134/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16134/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16134/events | https://github.com/langchain-ai/langchain/issues/16134 | 2,085,829,150 | I_kwDOIPDwls58Uzoe | 16,134 | How is multiquery retreiver implemented with RAG? | {
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"id":... | open | false | null | [] | null | 1 | 2024-01-17T10:01:04 | 2024-01-17T10:21:37 | null | NONE | null | <peek>
```
below is my code :-
def regenerate_custom_prompt(new_project_qa,chroma_db_path,query,name,not_uuid):
check = query.lower()
relevant_document = new_project_qa.get_relevant_documents(query=query)
context_text="\n\n---\n\n".join([doc.page_content for doc in relevant_document])
#... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16133 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16133/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16133/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16133/events | https://github.com/langchain-ai/langchain/pull/16133 | 2,085,788,775 | PR_kwDOIPDwls5kSrKn | 16,133 | Implement vector length definition at init time in PGVector for indexing | {
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... | open | false | null | [] | null | 1 | 2024-01-17T09:39:10 | 2024-01-17T17:12:08 | null | CONTRIBUTOR | null | Replace this entire comment with:
- **Description:** allow user to define tVector length in PGVector when creating the embedding store, this allows for later indexing
- **Issue:** #16132
- **Dependencies:** None
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https://api.github.com/repos/langchain-ai/langchain/issues/16132 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16132/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16132/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16132/events | https://github.com/langchain-ai/langchain/issues/16132 | 2,085,775,436 | I_kwDOIPDwls58UmhM | 16,132 | Implement vector length definition at init time in PGVector for indexing | {
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"id": 56... | open | false | null | [] | null | 1 | 2024-01-17T09:31:57 | 2024-01-17T09:34:24 | null | CONTRIBUTOR | null | ### Feature request
Allow manual definition of embedding column length in PGVector
### Motivation
Right now embeddings stores in PGVector are initialised with:
`embedding: Vector = sqlalchemy.Column(Vector(None))`
This won't allow indexing of the DB ([https://learn.microsoft.com/en-us/azure/postgresql/flexible-ser... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16131 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16131/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16131/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16131/events | https://github.com/langchain-ai/langchain/issues/16131 | 2,085,768,721 | I_kwDOIPDwls58Uk4R | 16,131 | DOC: Dead link in langgraph docs | {
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https://python.langchain.com/docs/langgraph
The paragraph under "Examples":
>
> Modifications
>
> We also have a lot of examples highlighting how to slightly modify the base chat agent executor. These all build off the [getting started notebook](https://python.langchai... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16129 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16129/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16129/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16129/events | https://github.com/langchain-ai/langchain/issues/16129 | 2,085,735,570 | I_kwDOIPDwls58UcyS | 16,129 | SQLDatabase.from_uri Throws an error when used with Vertica | {
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"node_id... | open | false | null | [] | null | 1 | 2024-01-17T09:09:24 | 2024-01-17T09:18:55 | null | NONE | null | ### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
```
db = SQLDatabase.from_uri(
'vertica+vertica_pytho... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16123 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16123/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16123/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16123/events | https://github.com/langchain-ai/langchain/issues/16123 | 2,085,521,161 | I_kwDOIPDwls58TocJ | 16,123 | PydanticOutputParser ` ValidationError: Field required [type=missing,' for an Optional field | {
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... | open | false | null | [] | null | 1 | 2024-01-17T06:51:10 | 2024-01-17T07:03:05 | null | NONE | null | ### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
The following code follows the example from [langchain docs](https:... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16122 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16122/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16122/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16122/events | https://github.com/langchain-ai/langchain/pull/16122 | 2,085,485,584 | PR_kwDOIPDwls5kRpOt | 16,122 | langchain_community: Replace azure_cosmos_db_vector_search with azure_cosmos_db in Cosmos DB Documentation | {
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"url... | closed | false | null | [] | null | 1 | 2024-01-17T06:29:53 | 2024-01-17T17:11:17 | 2024-01-17T17:11:16 | CONTRIBUTOR | null | **Description**: This PR fixes an error in the documentation for Azure Cosmos DB Integration.
**Issue**: The correct way to import `AzureCosmosDBVectorSearch` is
```python
from langchain_community.vectorstores.azure_cosmos_db import (
AzureCosmosDBVectorSearch,
)
```
While the [documentation](https://python... | {
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import os
from langchain_community.chat_models import ChatOpenAI
from langchain.schema import Document
from langchain_community.embeddings import HuggingFaceEmbeddings
from langchain_community.vectorstores import Qdrant
from langchain.chains import ConversationChain
from lan... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16120 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16120/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16120/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16120/events | https://github.com/langchain-ai/langchain/pull/16120 | 2,085,467,940 | PR_kwDOIPDwls5kRlrm | 16,120 | Add Tuple support for messages placeholder | {
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[Deploy Llama2 Chat Models - Chat API](https://learn.microsoft.com/en-us/azure/ai-stud... | {
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- will bump package version in release prs associated with packages that do have changes (mistral, vertex) | {
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**Following issue:**
We cannot just move these classes to `community` because of the dependency on the Visitor class and other classes from the `langchain.chains.query_constructor` namespace.
What is interestin... | {
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- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
### Example Code
```python
llm = VertexAI(model_name='gemini-pro', max_output_token... | {
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Resolves: https://github.com/langchain-ai/langsmith-sdk/issues/356 | {
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Still need to do tests | {
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- added setting instructions
- added the Chat model reference | {
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would need to be implemented for ainvoke too | {
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- **Issue:** [16096](https://github.com/langchain-ai/langchain/issues/16096)
- **Dependencies:** None
- **Twitter handle:** @davedecaprio
Sometimes it's better to limit the history in the prompt itself rather than the memory. This is needed if yo... | {
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When using `MessagesPlaceholder`, it always includes all messages. For some prompts I want the full message history, but for others, I want to limit it to just the most recent few messages.
This can be accomplished with `ConversationBufferWindowMemory`, but that limits the memory storage which ... | {
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This feature request adds support for NVIDIA NeMo embedding models.
### Motivation
I am constantly in need of custom embedding models like Embedding models from NeMo.
### Your contribution
I will open a PR to add support for this. | {
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- **Issue:** [15664](https://github.com/langchain-ai/langchain/issues/15664)
- **Dependencies:** None
- **Twitter handle:** @davedecaprio
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I would like to use the research assistant template with OpenAI models on Azure. Can this be integrated into the template somehow ? I can of course modify the code post template expansion (ChatOpenAI -> AzureChatOpenAI etc.), but that would be lost upon changes / enhancements to the templates.
###... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16077 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16077/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16077/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16077/events | https://github.com/langchain-ai/langchain/pull/16077 | 2,083,520,647 | PR_kwDOIPDwls5kK31p | 16,077 | Add doc for AstraDB self retriever | {
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... | closed | false | null | [] | null | 2 | 2024-01-16T10:04:58 | 2024-01-16T20:37:57 | 2024-01-16T17:50:31 | CONTRIBUTOR | null | Preview: https://langchain-git-fork-cbornet-astra-self-retriever-docs-langchain.vercel.app/docs/integrations/retrievers/self_query/astradb | {
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- **Issue:** No
- **Dependencies:** No
- **Twitter handle:** No
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import os
from docarray.index.backends.qdrant import qdrant_client
from langchain.schema import Document
from langchain_community.embeddings import HuggingFaceEmbeddings
from langchain_community.vectorstores import Qdrant
from qdrant_client import QdrantClient
from langchain... | {
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"node_... | closed | false | null | [] | null | 3 | 2024-01-16T07:20:39 | 2024-01-17T17:42:11 | 2024-01-17T17:42:10 | CONTRIBUTOR | null | - **Description:** Update [this page](https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history) to use the latest API
- **Issue:** https://github.com/langchain-ai/langchain/issues/13995
- **Dependencies:** None
- **Twitter handle:** @OhSynap | {
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https://api.github.com/repos/langchain-ai/langchain/issues/16070 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/16070/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/16070/comments | https://api.github.com/repos/langchain-ai/langchain/issues/16070/events | https://github.com/langchain-ai/langchain/pull/16070 | 2,083,142,967 | PR_kwDOIPDwls5kJj3F | 16,070 | [fix] ollama astream | {
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<!-- Thank you for contributing to LangChain!
Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified.
Replace this entire comment with:
- **Description:** a description of the change,
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- [x] I added a very descriptive title to this issue.
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- [X] I added a very descriptive title to this issue.
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### Example Code
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- [X] I added a very descriptive title to this issue.
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