Commit Graph

1963 Commits

Author SHA1 Message Date
Bagatur
1d2b6c3c67 Reorganize presidio anonymization docs 2023-09-07 14:45:07 -07:00
maks-operlejn-ds
274c3dc3a8
Multilingual anonymization (#10327)
### Description

Add multiple language support to Anonymizer

PII detection in Microsoft Presidio relies on several components - in
addition to the usual pattern matching (e.g. using regex), the analyser
uses a model for Named Entity Recognition (NER) to extract entities such
as:
- `PERSON`
- `LOCATION`
- `DATE_TIME`
- `NRP`
- `ORGANIZATION`


[[Source]](https://github.com/microsoft/presidio/blob/main/presidio-analyzer/presidio_analyzer/predefined_recognizers/spacy_recognizer.py)

To handle NER in specific languages, we utilize unique models from the
`spaCy` library, recognized for its extensive selection covering
multiple languages and sizes. However, it's not restrictive, allowing
for integration of alternative frameworks such as
[Stanza](https://microsoft.github.io/presidio/analyzer/nlp_engines/spacy_stanza/)
or
[transformers](https://microsoft.github.io/presidio/analyzer/nlp_engines/transformers/)
when necessary.

### Future works

- **automatic language detection** - instead of passing the language as
a parameter in `anonymizer.anonymize`, we could detect the language/s
beforehand and then use the corresponding NER model. We have discussed
this internally and @mateusz-wosinski-ds will look into a standalone
language detection tool/chain for LangChain 😄

### Twitter handle
@deepsense_ai / @MaksOpp

### Tag maintainer
@baskaryan @hwchase17 @hinthornw
2023-09-07 14:42:24 -07:00
Ofer Mendelevitch
a9eb7c6cfc
Adding Self-querying for Vectara (#10332)
- Description: Adding support for self-querying to Vectara integration
  - Issue: per customer request
  - Tag maintainer: @rlancemartin @baskaryan 
  - Twitter handle: @ofermend 

Also updated some documentation, added self-query testing, and a demo
notebook with self-query example.
2023-09-07 10:24:50 -07:00
Bagatur
f0ccce76fe
nuclia db nit (#10334) 2023-09-07 09:48:56 -07:00
Bagatur
205f406485
nuclia nb nit (#10331) 2023-09-07 08:49:33 -07:00
maks-operlejn-ds
f747e76b73
Fixed link to colab notebook (#10320)
small fix to anonymizer documentation
2023-09-07 08:42:04 -07:00
maks-operlejn-ds
4cc4534d81
Data deanonymization (#10093)
### Description

The feature for pseudonymizing data with ability to retrieve original
text (deanonymization) has been implemented. In order to protect private
data, such as when querying external APIs (OpenAI), it is worth
pseudonymizing sensitive data to maintain full privacy. But then, after
the model response, it would be good to have the data in the original
form.

I implemented the `PresidioReversibleAnonymizer`, which consists of two
parts:

1. anonymization - it works the same way as `PresidioAnonymizer`, plus
the object itself stores a mapping of made-up values to original ones,
for example:
```
    {
        "PERSON": {
            "<anonymized>": "<original>",
            "John Doe": "Slim Shady"
        },
        "PHONE_NUMBER": {
            "111-111-1111": "555-555-5555"
        }
        ...
    }
```

2. deanonymization - using the mapping described above, it matches fake
data with original data and then substitutes it.

Between anonymization and deanonymization user can perform different
operations, for example, passing the output to LLM.

### Future works

- **instance anonymization** - at this point, each occurrence of PII is
treated as a separate entity and separately anonymized. Therefore, two
occurrences of the name John Doe in the text will be changed to two
different names. It is therefore worth introducing support for full
instance detection, so that repeated occurrences are treated as a single
object.
- **better matching and substitution of fake values for real ones** -
currently the strategy is based on matching full strings and then
substituting them. Due to the indeterminism of language models, it may
happen that the value in the answer is slightly changed (e.g. *John Doe*
-> *John* or *Main St, New York* -> *New York*) and such a substitution
is then no longer possible. Therefore, it is worth adjusting the
matching for your needs.
- **Q&A with anonymization** - when I'm done writing all the
functionality, I thought it would be a cool resource in documentation to
write a notebook about retrieval from documents using anonymization. An
iterative process, adding new recognizers to fit the data, lessons
learned and what to look out for

### Twitter handle
@deepsense_ai / @MaksOpp

---------

Co-authored-by: MaksOpp <maks.operlejn@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-06 21:33:24 -07:00
Bagatur
f4f9254dad Move Myscale SQL vector retrieval nb 2023-09-06 17:09:40 -07:00
刘 方瑞
890ed775a3
Resolve: VectorSearch enabled SQLChain? (#10177)
Squashed from #7454 with updated features

We have separated the `SQLDatabseChain` from `VectorSQLDatabseChain` and
put everything into `experimental/`.

Below is the original PR message from #7454.

-------

We have been working on features to fill up the gap among SQL, vector
search and LLM applications. Some inspiring works like self-query
retrievers for VectorStores (for example
[Weaviate](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate_self_query.html)
and
[others](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query.html))
really turn those vector search databases into a powerful knowledge
base! 🚀🚀

We are thinking if we can merge all in one, like SQL and vector search
and LLMChains, making this SQL vector database memory as the only source
of your data. Here are some benefits we can think of for now, maybe you
have more 👀:

With ALL data you have: since you store all your pasta in the database,
you don't need to worry about the foreign keys or links between names
from other data source.
Flexible data structure: Even if you have changed your schema, for
example added a table, the LLM will know how to JOIN those tables and
use those as filters.
SQL compatibility: We found that vector databases that supports SQL in
the marketplace have similar interfaces, which means you can change your
backend with no pain, just change the name of the distance function in
your DB solution and you are ready to go!

### Issue resolved:
- [Feature Proposal: VectorSearch enabled
SQLChain?](https://github.com/hwchase17/langchain/issues/5122)

### Change made in this PR:
- An improved schema handling that ignore `types.NullType` columns 
- A SQL output Parser interface in `SQLDatabaseChain` to enable Vector
SQL capability and further more
- A Retriever based on `SQLDatabaseChain` to retrieve data from the
database for RetrievalQAChains and many others
- Allow `SQLDatabaseChain` to retrieve data in python native format
- Includes PR #6737 
- Vector SQL Output Parser for `SQLDatabaseChain` and
`SQLDatabaseChainRetriever`
- Prompts that can implement text to VectorSQL
- Corresponding unit-tests and notebook

### Twitter handle: 
- @MyScaleDB

### Tag Maintainer:
Prompts / General: @hwchase17, @baskaryan
DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev

### Dependencies:
No dependency added
2023-09-06 17:08:12 -07:00
Eric BREHAULT
19b4ecdc39
Implement NucliaDB vector store (#10236)
# Description

This pull request allows to use the
[NucliaDB](https://docs.nuclia.dev/docs/docs/nucliadb/intro) as a vector
store in LangChain.

It works with both a [local NucliaDB
instance](https://docs.nuclia.dev/docs/docs/nucliadb/deploy/basics) or
with [Nuclia Cloud](https://nuclia.cloud).

# Dependencies

It requires an up-to-date version of the `nuclia` Python package.

@rlancemartin, @eyurtsev, @hinthornw, please review it when you have a
moment :)

Note: our Twitter handler is `@NucliaAI`
2023-09-06 16:26:14 -07:00
Bagatur
1fb7bdd595
Split sql use case docs (#10257)
Split sql use case into directory so we can add other structured data
pages
2023-09-06 16:19:21 -07:00
Bagatur
763212eafd
Add use case nb position (#10299) 2023-09-06 15:46:33 -07:00
Ikko Eltociear Ashimine
ea5d29a702
Update amazon_comprehend_chain.ipynb (#10246)
Huggingface, HuggingFace -> Hugging Face
2023-09-06 15:38:37 -07:00
captivus
86cb9da735
Updated Additional Resources section of documentation (#10260)
- Description: Updated Additional Resources section of documentation and
added to YouTube videos with excellent playlist of Langchain content
from Sam Witteveen
- Issue: None -- updating documentation
- Dependencies: None
- Tag maintainer: @baskaryan
2023-09-06 15:10:43 -07:00
JaéGeR
b8669b249e
Added Hugging face inference api (#10280)
Embed documents without locally downloading the HF model


---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-06 14:55:48 -07:00
Randy
1690013711
Doc: openai_functions_agent.mdx import (#10282)
Fix the import in docmention

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-06 14:00:39 -07:00
William FH
13c5951e26
Add LCEL cookbook examples (#10290)
1. For passing config to runnable lambda
2. For branching and merging
2023-09-06 13:50:43 -07:00
Pihplipe Oegr
bce38b7163
Add notebook example to use sqlite-vss as a vector store. (#10292)
Follow-up PR for https://github.com/langchain-ai/langchain/pull/10047,
simply adding a notebook quickstart example for the vector store with
SQLite, using the class SQLiteVSS.

Maintainer tag @baskaryan

Co-authored-by: Philippe Oger <philippe.oger@adevinta.com>
2023-09-06 13:46:59 -07:00
Tomaz Bratanic
db73c9d5b5
Diffbot Graph Transformer / Neo4j Graph document ingestion (#9979)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-06 13:32:59 -07:00
Nik
49341483da
Update Banana.dev docs to latest correct usage (#10183)
- Description: this PR updates all Banana.dev-related docs to match the
latest client usage. The code in the docs before this PR were out of
date and would never run.
- Issue: [#6404](https://github.com/langchain-ai/langchain/issues/6404)
- Dependencies: -
- Tag maintainer:  
- Twitter handle: [BananaDev_ ](https://twitter.com/BananaDev_ )
2023-09-06 07:46:17 -07:00
Bagatur
c732d8fffd
use case docs reorder (#10074) 2023-09-05 15:11:16 -07:00
William FH
be152b6a56
Better ls info (#10202) 2023-09-04 18:21:15 -07:00
Manuel Soria
dde1992fdd
Adding custom tools to SQL Agent (#10198)
Changes in:
- `create_sql_agent` function so that user can easily add custom tools
as complement for the toolkit.
- updating **sql use case** notebook to showcase 2 examples of extra
tools.

Motivation for these changes is having the possibility of including
domain expert knowledge to the agent, which improves accuracy and
reduces time/tokens.

---------

Co-authored-by: Manuel Soria <manuel.soria@greyscaleai.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-04 15:28:28 -07:00
Lance Martin
8998060d85
Update docs w/ prompt hub (#10197)
Small updates to docs
2023-09-04 14:09:08 -07:00
Bagatur
a94dc6ee44
model garden nit (#10194) 2023-09-04 11:42:35 -07:00
Aashish Saini
8bba69ffd0
Fixed some grammatical typos in doc files (#10191)
Fixed some grammatical typos in doc files
CC: @baskaryan, @eyurtsev, @rlancemartin.

---------

Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com>
Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: Lakshya <lakshyagupta87@yahoo.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com>
2023-09-04 10:48:08 -07:00
IlyaKIS1
de3322609e
Implemented Milvus translator for self-querying (#10162)
- Implemented the MilvusTranslator for self-querying using Milvus vector
store
- Made unit tests to test its functionality
- Documented the Milvus self-querying
2023-09-04 00:16:18 -07:00
Aashish Saini
7403faa063
Fixed typo in get_started.mdx (#10163)
Fix typo: 'Whats up' -> 'What's up'

Thanks
CC: @baskaryan, @eyurtsev, @rlancemartin.

---------

Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
2023-09-04 00:09:50 -07:00
Aashish Saini
f6f0b0f975
Fixed typo in bittensor.mdx (#10160)
Fixed Typo in bittenaor.mdx

---------

Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
2023-09-03 21:49:33 -07:00
Christophe Bornet
803d0d9656
Add the possibility to configure boto3 in the S3 loaders (#9304)
- Description: this PR adds the possibility to configure boto3 in the S3
loaders. Any named argument you add will be used to create the Boto3
session. This is useful when the AWS credentials can't be passed as env
variables or can't be read from the credentials file.
  - Issue: N/A
  - Dependencies: N/A
  - Tag maintainer: ?
  - Twitter handle: cbornet_

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-03 21:06:49 -07:00
Leonid Ganeline
03174c91d0
docs: MLflow API and examples (#9547)
Added docs and links to the API and examples provided by MLflow itself
2023-09-03 20:52:20 -07:00
Xiaoyu Xee
9bcfd58580
Add dashvector self query retriever (#9684)
## Description
Add `Dashvector` retriever and self-query retriever

## How to use
```python
from langchain.vectorstores.dashvector import DashVector

vectorstore = DashVector.from_documents(docs, embeddings)
retriever = SelfQueryRetriever.from_llm(
    llm, vectorstore, document_content_description, metadata_field_info, verbose=True
)
```

---------

Co-authored-by: smallrain.xuxy <smallrain.xuxy@alibaba-inc.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-03 20:51:04 -07:00
Leonid Ganeline
056e59672b
docs: DeepLake example (#9663)
Updated the `Deep Lake` example. Added a link to an example provided by
Activeloop.
2023-09-03 20:42:52 -07:00
seamusp
43c4c6dfcc
docs: misc modelIO fixes (#9734)
Various improvements to the Model I/O section of the documentation

- Changed "Chat Model" to "chat model" in a few spots for internal
consistency
- Minor spelling & grammar fixes to improve readability & comprehension
2023-09-03 20:33:20 -07:00
Nino Risteski
433c4a721e
typo in locall llms fixed (#9755)
Hi, 

I noticed a typo in the local_llms.ipynb file and fixed it. The word
challenge is without 'a' in the original file.
@baskaryan , @eyurtsev

Thanks.

Co-authored-by: Fliprise <fliprise@Fliprises-MacBook-Pro.local>
2023-09-03 20:29:41 -07:00
seamusp
16945c9922
docs: misc retrievers fixes (#9791)
Various miscellaneous fixes to most pages in the 'Retrievers' section of
the documentation:
- "VectorStore" and "vectorstore" changed to "vector store" for
consistency
- Various spelling, grammar, and formatting improvements for readability

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-03 20:26:49 -07:00
Terry Tan
8bc452a466
Enhance Google search tool SerpApi response (#10157)
Enhance SerpApi response which potential to have more relevant output.

<img width="345" alt="Screenshot 2023-09-01 at 8 26 13 AM"
src="https://github.com/langchain-ai/langchain/assets/10222402/80ff684d-e02e-4143-b218-5c1b102cbf75">

Query: What is the weather in Pomfret?

**Before:**

> I should look up the current weather conditions.
...
Final Answer: The current weather in Pomfret is 73°F with 1% chance of
precipitation and winds at 10 mph.

**After:**

> I should look up the current weather conditions.
...
Final Answer: The current weather in Pomfret is 62°F, 1% precipitation,
61% humidity, and 4 mph wind.

---

Query: Top team in english premier league?

**Before:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Liverpool FC is currently at the top of the English
Premier League.

**After:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Man City is currently at the top of the English Premier
League.

---

Query: Top team in english premier league?

**Before:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Liverpool FC is currently at the top of the English
Premier League.


**After:**

> I need to find out which team is currently at the top of the English
Premier League
...
Final Answer: Man City is currently at the top of the English Premier
League.

---

Query: Any upcoming events in Paris?

**Before:**

> I should look for events in Paris
Action: Search
...
Final Answer: Upcoming events in Paris this month include Whit Sunday &
Whit Monday (French National Holiday), Makeup in Paris, Paris Jazz
Festival, Fete de la Musique, and Salon International de la Maison de.

**After:**

> I should look for events in Paris
Action: Search
...
Final Answer: Upcoming events in Paris include Elektric Park 2023, The
Aces, and BEING AS AN OCEAN.
2023-09-03 20:24:19 -07:00
Aashish Saini
fe0e191fb3
Made some Grammatical error fixes (#10156)
Made some Grammatical error fixes.
CC: @baskaryan, @eyurtsev, @rlancemartin.

---------

Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
2023-09-03 20:21:46 -07:00
Geonwoo Kim
e34dde3d15
docs: Fix CustomLLM and Question_answering docs (#9782)
### Description
- Update `CustomLLM._call`: Corrected the _call method in CustomLLM to
include **kwargs, ensuring consistency with parent class.
- Update `Question_answering`: To fix `Page not found` error
- https://python.langchain.com/docs/use_cases/code ->
https://python.langchain.com/docs/use_cases/code_understanding

### Issue
N/A

### Dependencies
N/A

### Tag maintainer
N/A

### Twitter handle
N/A
2023-09-03 16:15:46 -07:00
Aashish Saini
94efede93c
Fixed Typos and grammatical issues in document files (#9789)
Fixed typos and grammatical issues in document files.

@baskaryan , @eyurtsev

---------

Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
2023-09-03 16:09:14 -07:00
Philippe PRADOS
f59e5d48ed
Google drive integration (lite) (#9999)
My other
[pull-request](https://github.com/langchain-ai/langchain/pull/5135) is
too big to be acceptable.
I propose another 'lite' version.

I update only notebook to propose an integration with the external
project
[`langchain-googledrive`](https://github.com/pprados/langchain-googledrive).

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-03 15:54:42 -07:00
Viktor Zhemchuzhnikov
507e46844e
Extend SQLChatMessageHistory (#9849)
### Description

There is a really nice class for saving chat messages into a database -
SQLChatMessageHistory.
It leverages SqlAlchemy to be compatible with any supported database (in
contrast with PostgresChatMessageHistory, which is basically the same
but is limited to Postgres).

However, the class is not really customizable in terms of what you can
store. I can imagine a lot of use cases, when one will need to save a
message date, along with some additional metadata.

To solve this, I propose to extract the converting logic from
BaseMessage to SQLAlchemy model (and vice versa) into a separate class -
message converter. So instead of rewriting the whole
SQLChatMessageHistory class, a user will only need to write a custom
model and a simple mapping class, and pass its instance as a parameter.

I also noticed that there is no documentation on this class, so I added
that too, with an example of custom message converter.

### Issue

N/A

### Dependencies

N/A

### Tag maintainer

Not yet

### Twitter handle

N/A
2023-09-03 15:49:53 -07:00
Jon Bennion
fed137a8a9
adding new chain for logical fallacy removal from model output in chain (#9887)
Description: new chain for logical fallacy removal from model output in
chain and docs
Issue: n/a see above
Dependencies: none
Tag maintainer: @hinthornw in past from my end but not sure who that
would be for maintenance of chains
Twitter handle: no twitter feel free to call out my git user if shout
out j-space-b

Note: created documentation in docs/extras

---------

Co-authored-by: Jon Bennion <jb@Jons-MacBook-Pro.local>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-03 15:44:27 -07:00
Lance Martin
16a27ab244
Add prompt hub for various use-cases (#9879)
Use prompt hub in our use-case docs and guides.
2023-09-03 15:32:22 -07:00
Leonid Ganeline
a52fe9528e
docs: fixed title in Bittensor example (#9893)
Fixed title in the `Bittensor` example. The old title brakes the sorted
order of items in the navbar.
Added some formatting.
2023-09-03 15:10:42 -07:00
seamusp
abd8681341
docs: chains & memory fixes (#9895)
Various improvements to the Chains & Memory sections of the
documentation including formatting, spelling, and grammar fixes to
improve readability.
2023-09-03 15:06:20 -07:00
Josh White
bc8cceebf7
Extend DynamoDBChatMessageHistory to support composite keys (#9896)
- Description: Adds two optional parameters to the
DynamoDBChatMessageHistory class to enable users to pass in a name for
their PrimaryKey, or a Key object itself to enable the use of composite
keys, a common DynamoDB paradigm.
  
[AWS DynamoDB Key
docs](https://aws.amazon.com/blogs/database/choosing-the-right-dynamodb-partition-key/)
  
  - Issue: N/A
  - Dependencies: N/A
  - Twitter handle: N/A

---------

Co-authored-by: Josh White <josh@ctrlstack.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-09-03 15:05:16 -07:00
Blake (Yung Cher Ho)
f4bed8a04c
Takeoff baseurl support (#10091)
## Description
This PR introduces a minor change to the TitanTakeoff integration. 
Instead of specifying a port on localhost, this PR will allow users to
specify a baseURL instead. This will allow users to use the integration
if they have TitanTakeoff deployed externally (not on localhost). This
removes the hardcoded reference to localhost "http://localhost:{port}".

### Info about Titan Takeoff
Titan Takeoff is an inference server created by
[TitanML](https://www.titanml.co/) that allows you to deploy large
language models locally on your hardware in a single command. Most
generative model architectures are included, such as Falcon, Llama 2,
GPT2, T5 and many more.

Read more about Titan Takeoff here:
-
[Blog](https://medium.com/@TitanML/introducing-titan-takeoff-6c30e55a8e1e)
- [Docs](https://docs.titanml.co/docs/titan-takeoff/getting-started)

### Dependencies
No new dependencies are introduced. However, users will need to install
the titan-iris package in their local environment and start the Titan
Takeoff inferencing server in order to use the Titan Takeoff
integration.

Thanks for your help and please let me know if you have any questions.
cc: @hwchase17 @baskaryan

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-09-03 14:45:59 -07:00
Pu Cao
05664a6f20
docs(text_splitter): update document of character splitter with tiktoken (#10001)
The current document has not mentioned that splits larger than chunk
size would happen. I update the related document and explain why it
happens and how to solve it.

related issue #1349 #3838 #2140
2023-09-03 14:45:45 -07:00
Leonid Ganeline
2221194450
Yahoo Finance News tool (#10014)
Added:
- the `Yahoo Finance News` tool
- Ut-s
- An example
2023-09-03 14:43:57 -07:00